An ostensibly Data Analyst role that reads like a cross between analytics strategy and light data engineering. You’ll drive advanced analytics for Global Operations, automate reporting, and build...
read more »
An ostensibly Data Analyst role that reads like a cross between analytics strategy and light data engineering. You’ll drive advanced analytics for Global Operations, automate reporting, and build dashboards while collating diverse data sources for a cross-functional squad of Data Engineers, Data Scientists, and Business Analysts. The job promises governance, scalable pipelines, and data-driven storytelling, but you’re asked to own both requirement capture and lifecycle management of dashboards and pipelines. Techwise, the stack is credible: Python with pandas/NumPy, advanced SQL, JSON/XML, APIs, plus Snowflake, GCP, AWS, and CLI. Frontend hooks via Streamlit or R Shiny, versioning with Git, and CI/CD. Preferred ML/optimization work signals a potential slope toward data science, but the core remit remains governance and reporting. Salary isn’t disclosed; the scope spans junior to mid-level expectations and likely agency handoff. It’s solid, not magical, and diverges from specialty roles by breadth over depth.
Fitch Group seeks a Data Operations – Associate Director (Banks) in London to oversee fundamental data collection, ensure data quality, and support process centralization. The role’s...
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Fitch Group seeks a Data Operations – Associate Director (Banks) in London to oversee fundamental data collection, ensure data quality, and support process centralization. The role’s differentiator is its focus on defining collection methodologies in a complex financial data environment, with a risk involving stakeholder management across jurisdictions. The position involves leveraging AI/ML and cloud solutions, with salary details not specified.
The Fundamentals of Analytics Engineering gives a holistic understanding of the analytics engineering lifecycle by integrating principles from both data analysis and engineering. It's a book that teaches concepts and best practices, not just tools and technologies.
SVP, Insights - Digital Strategy & Insights, Marketing
@ blackstoneinc
US | 2025-12-28
| USD
185000 - 250000
/ year
The role at Blackstone is a high-stakes, globally impactful position requiring 10+ years of senior insights or analytics experience, with a focus on integrating siloed data and driving strategic...
read more »
SVP, Insights - Digital Strategy & Insights, Marketing
blackstoneinc
(US) FULL TIME | JOB LISTED
The role at Blackstone is a high-stakes, globally impactful position requiring 10+ years of senior insights or analytics experience, with a focus on integrating siloed data and driving strategic insights. The candidate must lead a team, manage stakeholder relationships, and implement best practices in data governance and analytics. The job is highly technical, involving advanced data integration, analytics, and reporting, and offers significant opportunity for impact. The salary range is $185k–$250k, with potential for additional compensation. The position is through an intermediary, and the tools and technologies include SQL, Python, R, Tableau, Power BI, and data governance frameworks. The job type is 'Head of Insights', and the role is not explicitly tied to a specific location, with compensation based on market comparables.
Voodoo's Game Data Analyst role promises measurable impact on hundreds of millions of players by turning raw telemetry into actionable product decisions. The core requirements are solid: strong...
read more »
Voodoo's Game Data Analyst role promises measurable impact on hundreds of millions of players by turning raw telemetry into actionable product decisions. The core requirements are solid: strong SQL over large datasets, Excel fluency, and Tableau for dashboards, plus ownership of tracking design and QA to keep data honest. You’ll build data pipelines, run AB tests, and translate findings into monetization and economy tweaks for both Core and Live titles, with playtests feeding UX refinements. What stands out is scale and the blend of hands-on data engineering with business-facing analytics; what’s murkier is the salary range and progression. The Paris office and generous benefits are nice, but the role rests on practical chops rather than buzzword theatrics.
Associate, Systems and Processes, Real Estate (contract)
@ gic
SG | 2025-12-28
GIC, one of the world's largest sovereign wealth funds, is seeking a 12-month associate to support its Real Estate Insurance systems team. The role involves coordinating data collection, analysis,...
read more »
Associate, Systems and Processes, Real Estate (contract)
gic
(SG) FULL TIME | JOB LISTED
GIC, one of the world's largest sovereign wealth funds, is seeking a 12-month associate to support its Real Estate Insurance systems team. The role involves coordinating data collection, analysis, and dashboard design, with a focus on process enhancement and data quality. A key differentiator is exposure to a globally significant investor with substantial real estate holdings, while a risk is reliance on legacy data systems that may complicate migration. Proficiency in Excel and SQL is mandatory, with additional skills in programming or visualization tools advantageous.
Analytic Partners sells itself as a global leader in commercial measurement with a proprietary platform and advisory services, and this role is built around leading multiple customer engagements,...
read more »
Analytic Partners sells itself as a global leader in commercial measurement with a proprietary platform and advisory services, and this role is built around leading multiple customer engagements, managing data collection, and delivering econometric models that inform investment decisions. On paper you'll need 5+ years in advanced analytics or marketing analytics, hands-on with big data pipelines and architectures, plus project management and client storytelling skills, with heavy use of PowerPoint and Excel. The trap is client-facing risk, scope creep, and dependence on a vendor's platform rather than open tools; advancement seems tethered to adoption of their tech and revenue targets. It’s a consulting-heavy data role with real impact, but fragile to market hype, and it lacks explicit salary clarity.
The Fundamentals of Analytics Engineering gives a holistic understanding of the analytics engineering lifecycle by integrating principles from both data analysis and engineering. It's a book that teaches concepts and best practices, not just tools and technologies.
Product and Workflow Integration Consulting Manager, Command Center International
@ gehealthcare
ES | 2025-12-27
GE HealthCare seeks a Product Owner and Workflow Integration Consulting Manager who fuses analytics prowess with product leadership to deliver Command Center software for hospital operations. The...
read more »
Product and Workflow Integration Consulting Manager, Command Center International
gehealthcare
(ES) FULL TIME | JOB LISTED
GE HealthCare seeks a Product Owner and Workflow Integration Consulting Manager who fuses analytics prowess with product leadership to deliver Command Center software for hospital operations. The role demands real-world expertise in hospital data interfaces, HL7 and FHIR, API data sources, and back-end HIS integration, plus hands-on work in predictive modeling, simulations, and real-time data optimization. You translate business needs into clear product specs and user stories, steer data collection and validation, and guide cross-functional teams toward measurable outcomes. Mentorship and senior stakeholder influence are core, and the job implies heavy travel (up to 75%) and a blend of consulting with product management. Strengths include exposure to enterprise healthcare data, data governance challenges, and practical analytics-to-product delivery. Watch for scope creep, regulatory nuance, and the tension between advisory leadership and hands-on delivery in a large corporate setting.
DISCO's Pricing & Performance Analyst sits at the crossroads of strategy, finance, and product in a software-centric, AI-powered legal-tech vendor. The role centers on price performance analysis,...
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DISCO's Pricing & Performance Analyst sits at the crossroads of strategy, finance, and product in a software-centric, AI-powered legal-tech vendor. The role centers on price performance analysis, product investment analytics, and deal-specific profitability work, with dashboards for SLT and cross-functional glue across sales, product, finance, and operations. You’ll leverage Excel for modeling, CRM/CPQ/ERP for data, and BI tools (Quicksight or Tableau) for dashboards; success hinges on rigor in data collection, KPI definition, and setting sensible discount levels on strategic opportunities. After 5+ years, you should be comfortable building business cases, negotiating with sales, and translating complex financials into actionable strategy. Caveats: the job leans business-analytic rather than data pipeline work, requires US work authorization with no visa sponsorship, and is NYC-based with $130,000—$160,000 salary, RSUs, and open culture. DISCO’s niche is legal AI; it’s real, not buzz. Expect rigorous stakeholder management and some non-trivial pricing puzzles.
This role is a compelling opportunity for a data engineer passionate about game development, but it lacks clarity on the company’s technical direction and the specific tools and frameworks...
read more »
This role is a compelling opportunity for a data engineer passionate about game development, but it lacks clarity on the company’s technical direction and the specific tools and frameworks expected. The job emphasizes data-driven decision-making and cross-functional collaboration, aligning with modern data engineering practices. However, the focus on ‘Gear Fight!’ or ‘Cup Heroes’ as the primary project may limit the scope of technical innovation. The role requires expertise in SQL, R, or Python, and a pragmatic approach to data analysis, but lacks explicit details on the technologies or tools to be used. While the position highlights the potential for impactful work in a fast-paced, high-growth environment, it struggles to differentiate itself from other data engineering roles in the market, relying on vague language and a focus on process over innovation.
dnata’s Business Performance role sits at the BI-ops edge: daily data validation, cross-checking, and FiNDnet system oversight drive the billing accuracy that customers rely on. You’ll maintain...
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dnata’s Business Performance role sits at the BI-ops edge: daily data validation, cross-checking, and FiNDnet system oversight drive the billing accuracy that customers rely on. You’ll maintain and extend Power BI dashboards, identify new data collection opportunities, and generate critical monthly and ad-hoc reports while liaising with airport staff to clarify and charge for services rendered. The job promises practical impact on turnaround management, but the day-to-day reality is data quality, process change, and coordinating multiple stakeholders during rollouts. Strengths include visible BI impact, clear scope for data collection tooling, and a chance to influence billing at scale; API integration experience is a bonus. Risks center on scope creep and aviation-specific friction; travel may be required. Overall, a solid, hands-on analytics/BI role in a complex, process-heavy environment.
APG seeks a Team Lead for the Private Equity Mid‑Office to run a cross‑continent team (Amsterdam and New York) of four, owning cash management, FX, and investment‑vehicle administration, with...
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APG seeks a Team Lead for the Private Equity Mid‑Office to run a cross‑continent team (Amsterdam and New York) of four, owning cash management, FX, and investment‑vehicle administration, with timely monthly, quarterly and annual reporting including ESG metrics. The role fuses hands‑on operations with analytics: turning data into actionable insights, coordinating portfolio performance reviews, and supporting ad‑hoc strategic projects. Tech requirements are substantial: SQL, Excel, PowerPoint, plus Qlik/Power BI for dashboards and Alteryx for automation; familiarity with PE middle‑office systems (eFront, Geneva, iLevel, Burgiss) and scripting in Python or R. You’ll oversee ETL improvements and partner with a Quant Developer on digitalization efforts. It’s senior, stakeholder‑dense work that demands rigorous controls and cross‑border collaboration. The package is described as competitive with a guaranteed bonus, but the role’s true appeal lies in the blend of process discipline, data discipline, and genuine cross‑team impact rather than buzzword bingo.
Albertsons Companies seeks a lead in marketing analytics to manage campaigns, mentor teams, and translate data into business insights, with a key differentiator being their focus on...
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Albertsons Companies seeks a lead in marketing analytics to manage campaigns, mentor teams, and translate data into business insights, with a key differentiator being their focus on cross-functional collaboration in a fast-evolving retail environment; a potential risk involves the burden of balancing technical complexity with client-facing responsibilities. Salary ranges from $95,400 to $123,900 annually, with some flexibility for top candidates.
An entry-to-mid level analytics role with Singtel, translating data into executives-facing dashboards and insights to drive planning, acquisition, retention, and cost optimization. The job...
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An entry-to-mid level analytics role with Singtel, translating data into executives-facing dashboards and insights to drive planning, acquisition, retention, and cost optimization. The job emphasizes BI deliverables, market sizing, competitive analysis, and cross‑stakeholder partnership with IT, sales, and product teams. With only 1–2 years of experience expected and explicit Fresh graduate eligibility, it's a junior role focused on reporting, data visualization, and basic data modeling rather than building scalable data pipelines. The standout is direct exposure to Singtel Singapore and Group management in budgeting and strategy reviews; the downside is the tooling scope appears constrained to Excel, PowerPoint and unspecified visualization tools, with little mention of SQL, cloud platforms, ETL, or modern data engineering practices. Salary details are absent, which hardly helps in market comparison.
Master Power BI fast: build basic-to-advanced visuals, apply smart design, use dynamic slicers/filters & new cards, choose the right chart, spotlight key insights, brand and theme reports, and seamlessly publish/share in the Service.
Here's a concise critique: The role anchors on digital analytics delivery in an agency setup, with a toolkit heavy on tag management (GTM, Tealium), analytics suites (Google Analytics, Adobe...
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Here's a concise critique: The role anchors on digital analytics delivery in an agency setup, with a toolkit heavy on tag management (GTM, Tealium), analytics suites (Google Analytics, Adobe Analytics, Piwik Pro), and visualization (Looker Studio, Power BI, Tableau). It asks for SQL, Python, and Google Cloud, with a bias toward BigQuery; evident focus on measurement plans, data quality audits, and cross-functional collaboration with developers. Strengths: solid exposure to end-to-end data flows, client-facing analytics strategy, and a chance to shape KPI ecosystems across multiple brands. Weaknesses: the title may overpromise on data engineering breadth; ambiguity in salary and career progression; agency pace can erode deep technical work; reliance on external data sources may complicate governance. Location options broaden access but imply travel or remote flexibility. Overall: practical in-market role for analytics engineers, not a unicorn.
Digital Analytics Implementation Specialist
@ fanduel
US | 2025-12-25
| USD
79000 - 99000
/ year
FanDuel seeks an Implementation Specialist for Digital Analytics, emphasizing strong technical expertise with tools like Amplitude Analytics and Google Analytics. The role's differentiator is the...
read more »
Digital Analytics Implementation Specialist
fanduel
(US) FULL TIME | JOB LISTED
FanDuel seeks an Implementation Specialist for Digital Analytics, emphasizing strong technical expertise with tools like Amplitude Analytics and Google Analytics. The role's differentiator is the focus on designing customized data collection solutions—an area where they seem particularly invested—although a risk involves managing multiple projects and stakeholder expectations without a formal programming requirement. The position offers a salary range of $79,000 - $99,000 USD, dependent on experience, location, and market demand. It involves translating business requirements into technical executions with a natural focus on data integrity, all within a digital sports betting context.
Business Analyst - Strategic Operations
@ flyzipline
US | 2025-12-25
| USD
110000 - 165000
/ year
Zipline seeks a Business Analyst within its Strategic Operations Team to leverage Excel, SQL, and BI tools like Mode and Looker for operational analysis, process refinement, and system...
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Business Analyst - Strategic Operations
flyzipline
(US) FULL TIME | JOB LISTED
Zipline seeks a Business Analyst within its Strategic Operations Team to leverage Excel, SQL, and BI tools like Mode and Looker for operational analysis, process refinement, and system development. The role stands out with its global scope and emphasis on building scalable processes, but the inherent risk lies in the potential for burnout from juggling diverse responsibilities in a fast-evolving environment. Compensation ranges from $110,000 to $165,000, contingent on experience and location, with additional benefits. The position involves travel and cross-functional collaboration, aiming to improve efficiency in a complex logistics setting.
TikTok's LIVE Operations internship toes the line between backroom coordination and data entry, offering a three-month sprint into creator ops rather than a career path. The role hinges on German...
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TikTok's LIVE Operations internship toes the line between backroom coordination and data entry, offering a three-month sprint into creator ops rather than a career path. The role hinges on German language fluency, brisk organization, and basic data chops in Excel or Google Sheets, with PowerPoint as the presentation grease. You’ll support creator issues, gather and lightly analyze project data, and keep action trackers tidy—sound familiar? The real constraints are the internship nature and reliance on on-the-job learning, which means limited ownership on high-impact projects and a clock that ticks with rolling applications and short cycles. For market visibility, it’s a standard entry point at a megacorp in digital media: steady if you want exposure to live creator operations, thin on structured data tooling, and heavy on process discipline.
TikTok’s project intern role sits at the business-operations edge of Client Solutions: you’ll doc, map, and track delivery across teams, collect and lightly analyze data, and maintain a knowledge...
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TikTok’s project intern role sits at the business-operations edge of Client Solutions: you’ll doc, map, and track delivery across teams, collect and lightly analyze data, and maintain a knowledge hub and action trackers. It promises fast feedback and real-world exposure via an end-to-end project lens, but the technical upside is minimal. The required toolkit is Excel/Google Sheets and PowerPoint, with a preference for proactivity and tidy note-taking rather than any real data engineering or software development. That makes it a decent entry point for someone aiming to pivot into program management or vendor-facing analytics, yet the role offers little depth for data professionals seeking robust pipelines or scalable analytics. The TikTok brand helps with resume value, but the internship reads as high-traction admin with occasional data chores, not a technical apprenticeship.
This senior leadership role involves overseeing global data initiatives, pricing strategies, and reporting ecosystems within RSA, emphasizing Technical Excellence (TEX) to transform underwriting...
read more »
The role of Product Analytics Manager at Manychat is complex and demanding, requiring expertise in product analytics, data science, and team leadership. The candidate must manage a team of product...
read more »
The role of Product Analytics Manager at Manychat is complex and demanding, requiring expertise in product analytics, data science, and team leadership. The candidate must manage a team of product analysts, align analytics with product and engineering strategies, and drive data-informed decisions across multiple product domains. The role involves both tactical and strategic thinking, with a focus on A/B testing, causal inference, and KPI development. The position demands deep technical knowledge of SQL, Python, and data infrastructure, as well as strong leadership and communication skills. While the role is highly specialized and requires significant experience, it lacks clarity regarding salary details and does not explicitly state the compensation range. The tools and technologies mentioned include SQL, Python, R, Git, and analytics frameworks like A/B testing and causal inference.
An ostensibly Data Analyst role that reads like a cross between analytics strategy and light data engineering. You’ll drive advanced analytics for Global Operations, automate reporting, and build dashboards while collating diverse data sources for a cross-functional squad of Data Engineers, Data Scientists, and Business Analysts. The job promises governance, scalable pipelines, and data-driven storytelling, but you’re asked to own both requirement capture and lifecycle management of dashboards and pipelines. Techwise, the stack is credible: Python with pandas/NumPy, advanced SQL, JSON/XML, APIs, plus Snowflake, GCP, AWS, and CLI. Frontend hooks via Streamlit or R Shiny, versioning with Git, and CI/CD. Preferred ML/optimization work signals a potential slope toward data science, but the core remit remains governance and reporting. Salary isn’t disclosed; the scope spans junior to mid-level expectations and likely agency handoff. It’s solid, not magical, and diverges from specialty roles by breadth over depth.
Fitch Group seeks a Data Operations – Associate Director (Banks) in London to oversee fundamental data collection, ensure data quality, and support process centralization. The role’s differentiator is its focus on defining collection methodologies in a complex financial data environment, with a risk involving stakeholder management across jurisdictions. The position involves leveraging AI/ML and cloud solutions, with salary details not specified.
SVP, Insights - Digital Strategy & Insights, Marketing
blackstoneinc
(US) FULL TIME | JOB LISTED
The role at Blackstone is a high-stakes, globally impactful position requiring 10+ years of senior insights or analytics experience, with a focus on integrating siloed data and driving strategic insights. The candidate must lead a team, manage stakeholder relationships, and implement best practices in data governance and analytics. The job is highly technical, involving advanced data integration, analytics, and reporting, and offers significant opportunity for impact. The salary range is $185k–$250k, with potential for additional compensation. The position is through an intermediary, and the tools and technologies include SQL, Python, R, Tableau, Power BI, and data governance frameworks. The job type is 'Head of Insights', and the role is not explicitly tied to a specific location, with compensation based on market comparables.
Voodoo's Game Data Analyst role promises measurable impact on hundreds of millions of players by turning raw telemetry into actionable product decisions. The core requirements are solid: strong SQL over large datasets, Excel fluency, and Tableau for dashboards, plus ownership of tracking design and QA to keep data honest. You’ll build data pipelines, run AB tests, and translate findings into monetization and economy tweaks for both Core and Live titles, with playtests feeding UX refinements. What stands out is scale and the blend of hands-on data engineering with business-facing analytics; what’s murkier is the salary range and progression. The Paris office and generous benefits are nice, but the role rests on practical chops rather than buzzword theatrics.
Associate, Systems and Processes, Real Estate (contract)
gic
(SG) FULL TIME | JOB LISTED
GIC, one of the world's largest sovereign wealth funds, is seeking a 12-month associate to support its Real Estate Insurance systems team. The role involves coordinating data collection, analysis, and dashboard design, with a focus on process enhancement and data quality. A key differentiator is exposure to a globally significant investor with substantial real estate holdings, while a risk is reliance on legacy data systems that may complicate migration. Proficiency in Excel and SQL is mandatory, with additional skills in programming or visualization tools advantageous.
Analytic Partners sells itself as a global leader in commercial measurement with a proprietary platform and advisory services, and this role is built around leading multiple customer engagements, managing data collection, and delivering econometric models that inform investment decisions. On paper you'll need 5+ years in advanced analytics or marketing analytics, hands-on with big data pipelines and architectures, plus project management and client storytelling skills, with heavy use of PowerPoint and Excel. The trap is client-facing risk, scope creep, and dependence on a vendor's platform rather than open tools; advancement seems tethered to adoption of their tech and revenue targets. It’s a consulting-heavy data role with real impact, but fragile to market hype, and it lacks explicit salary clarity.
Product and Workflow Integration Consulting Manager, Command Center International
gehealthcare
(ES) FULL TIME | JOB LISTED
GE HealthCare seeks a Product Owner and Workflow Integration Consulting Manager who fuses analytics prowess with product leadership to deliver Command Center software for hospital operations. The role demands real-world expertise in hospital data interfaces, HL7 and FHIR, API data sources, and back-end HIS integration, plus hands-on work in predictive modeling, simulations, and real-time data optimization. You translate business needs into clear product specs and user stories, steer data collection and validation, and guide cross-functional teams toward measurable outcomes. Mentorship and senior stakeholder influence are core, and the job implies heavy travel (up to 75%) and a blend of consulting with product management. Strengths include exposure to enterprise healthcare data, data governance challenges, and practical analytics-to-product delivery. Watch for scope creep, regulatory nuance, and the tension between advisory leadership and hands-on delivery in a large corporate setting.
DISCO's Pricing & Performance Analyst sits at the crossroads of strategy, finance, and product in a software-centric, AI-powered legal-tech vendor. The role centers on price performance analysis, product investment analytics, and deal-specific profitability work, with dashboards for SLT and cross-functional glue across sales, product, finance, and operations. You’ll leverage Excel for modeling, CRM/CPQ/ERP for data, and BI tools (Quicksight or Tableau) for dashboards; success hinges on rigor in data collection, KPI definition, and setting sensible discount levels on strategic opportunities. After 5+ years, you should be comfortable building business cases, negotiating with sales, and translating complex financials into actionable strategy. Caveats: the job leans business-analytic rather than data pipeline work, requires US work authorization with no visa sponsorship, and is NYC-based with $130,000—$160,000 salary, RSUs, and open culture. DISCO’s niche is legal AI; it’s real, not buzz. Expect rigorous stakeholder management and some non-trivial pricing puzzles.
This role is a compelling opportunity for a data engineer passionate about game development, but it lacks clarity on the company’s technical direction and the specific tools and frameworks expected. The job emphasizes data-driven decision-making and cross-functional collaboration, aligning with modern data engineering practices. However, the focus on ‘Gear Fight!’ or ‘Cup Heroes’ as the primary project may limit the scope of technical innovation. The role requires expertise in SQL, R, or Python, and a pragmatic approach to data analysis, but lacks explicit details on the technologies or tools to be used. While the position highlights the potential for impactful work in a fast-paced, high-growth environment, it struggles to differentiate itself from other data engineering roles in the market, relying on vague language and a focus on process over innovation.
dnata’s Business Performance role sits at the BI-ops edge: daily data validation, cross-checking, and FiNDnet system oversight drive the billing accuracy that customers rely on. You’ll maintain and extend Power BI dashboards, identify new data collection opportunities, and generate critical monthly and ad-hoc reports while liaising with airport staff to clarify and charge for services rendered. The job promises practical impact on turnaround management, but the day-to-day reality is data quality, process change, and coordinating multiple stakeholders during rollouts. Strengths include visible BI impact, clear scope for data collection tooling, and a chance to influence billing at scale; API integration experience is a bonus. Risks center on scope creep and aviation-specific friction; travel may be required. Overall, a solid, hands-on analytics/BI role in a complex, process-heavy environment.
APG seeks a Team Lead for the Private Equity Mid‑Office to run a cross‑continent team (Amsterdam and New York) of four, owning cash management, FX, and investment‑vehicle administration, with timely monthly, quarterly and annual reporting including ESG metrics. The role fuses hands‑on operations with analytics: turning data into actionable insights, coordinating portfolio performance reviews, and supporting ad‑hoc strategic projects. Tech requirements are substantial: SQL, Excel, PowerPoint, plus Qlik/Power BI for dashboards and Alteryx for automation; familiarity with PE middle‑office systems (eFront, Geneva, iLevel, Burgiss) and scripting in Python or R. You’ll oversee ETL improvements and partner with a Quant Developer on digitalization efforts. It’s senior, stakeholder‑dense work that demands rigorous controls and cross‑border collaboration. The package is described as competitive with a guaranteed bonus, but the role’s true appeal lies in the blend of process discipline, data discipline, and genuine cross‑team impact rather than buzzword bingo.
Albertsons Companies seeks a lead in marketing analytics to manage campaigns, mentor teams, and translate data into business insights, with a key differentiator being their focus on cross-functional collaboration in a fast-evolving retail environment; a potential risk involves the burden of balancing technical complexity with client-facing responsibilities. Salary ranges from $95,400 to $123,900 annually, with some flexibility for top candidates.
An entry-to-mid level analytics role with Singtel, translating data into executives-facing dashboards and insights to drive planning, acquisition, retention, and cost optimization. The job emphasizes BI deliverables, market sizing, competitive analysis, and cross‑stakeholder partnership with IT, sales, and product teams. With only 1–2 years of experience expected and explicit Fresh graduate eligibility, it's a junior role focused on reporting, data visualization, and basic data modeling rather than building scalable data pipelines. The standout is direct exposure to Singtel Singapore and Group management in budgeting and strategy reviews; the downside is the tooling scope appears constrained to Excel, PowerPoint and unspecified visualization tools, with little mention of SQL, cloud platforms, ETL, or modern data engineering practices. Salary details are absent, which hardly helps in market comparison.
Here's a concise critique: The role anchors on digital analytics delivery in an agency setup, with a toolkit heavy on tag management (GTM, Tealium), analytics suites (Google Analytics, Adobe Analytics, Piwik Pro), and visualization (Looker Studio, Power BI, Tableau). It asks for SQL, Python, and Google Cloud, with a bias toward BigQuery; evident focus on measurement plans, data quality audits, and cross-functional collaboration with developers. Strengths: solid exposure to end-to-end data flows, client-facing analytics strategy, and a chance to shape KPI ecosystems across multiple brands. Weaknesses: the title may overpromise on data engineering breadth; ambiguity in salary and career progression; agency pace can erode deep technical work; reliance on external data sources may complicate governance. Location options broaden access but imply travel or remote flexibility. Overall: practical in-market role for analytics engineers, not a unicorn.
Digital Analytics Implementation Specialist
fanduel
(US) FULL TIME | JOB LISTED
FanDuel seeks an Implementation Specialist for Digital Analytics, emphasizing strong technical expertise with tools like Amplitude Analytics and Google Analytics. The role's differentiator is the focus on designing customized data collection solutions—an area where they seem particularly invested—although a risk involves managing multiple projects and stakeholder expectations without a formal programming requirement. The position offers a salary range of $79,000 - $99,000 USD, dependent on experience, location, and market demand. It involves translating business requirements into technical executions with a natural focus on data integrity, all within a digital sports betting context.
Business Analyst - Strategic Operations
flyzipline
(US) FULL TIME | JOB LISTED
Zipline seeks a Business Analyst within its Strategic Operations Team to leverage Excel, SQL, and BI tools like Mode and Looker for operational analysis, process refinement, and system development. The role stands out with its global scope and emphasis on building scalable processes, but the inherent risk lies in the potential for burnout from juggling diverse responsibilities in a fast-evolving environment. Compensation ranges from $110,000 to $165,000, contingent on experience and location, with additional benefits. The position involves travel and cross-functional collaboration, aiming to improve efficiency in a complex logistics setting.
TikTok's LIVE Operations internship toes the line between backroom coordination and data entry, offering a three-month sprint into creator ops rather than a career path. The role hinges on German language fluency, brisk organization, and basic data chops in Excel or Google Sheets, with PowerPoint as the presentation grease. You’ll support creator issues, gather and lightly analyze project data, and keep action trackers tidy—sound familiar? The real constraints are the internship nature and reliance on on-the-job learning, which means limited ownership on high-impact projects and a clock that ticks with rolling applications and short cycles. For market visibility, it’s a standard entry point at a megacorp in digital media: steady if you want exposure to live creator operations, thin on structured data tooling, and heavy on process discipline.
TikTok’s project intern role sits at the business-operations edge of Client Solutions: you’ll doc, map, and track delivery across teams, collect and lightly analyze data, and maintain a knowledge hub and action trackers. It promises fast feedback and real-world exposure via an end-to-end project lens, but the technical upside is minimal. The required toolkit is Excel/Google Sheets and PowerPoint, with a preference for proactivity and tidy note-taking rather than any real data engineering or software development. That makes it a decent entry point for someone aiming to pivot into program management or vendor-facing analytics, yet the role offers little depth for data professionals seeking robust pipelines or scalable analytics. The TikTok brand helps with resume value, but the internship reads as high-traction admin with occasional data chores, not a technical apprenticeship.
This senior leadership role involves overseeing global data initiatives, pricing strategies, and reporting ecosystems within RSA, emphasizing Technical Excellence (TEX) to transform underwriting and portfolio management. The differentiator is the global scope and leadership in harmonized solutions, while the risk lies in the complexity of managing international teams and stakeholder alignment across multiple units. No salary details are provided, so defaults are used.
The role of Product Analytics Manager at Manychat is complex and demanding, requiring expertise in product analytics, data science, and team leadership. The candidate must manage a team of product analysts, align analytics with product and engineering strategies, and drive data-informed decisions across multiple product domains. The role involves both tactical and strategic thinking, with a focus on A/B testing, causal inference, and KPI development. The position demands deep technical knowledge of SQL, Python, and data infrastructure, as well as strong leadership and communication skills. While the role is highly specialized and requires significant experience, it lacks clarity regarding salary details and does not explicitly state the compensation range. The tools and technologies mentioned include SQL, Python, R, Git, and analytics frameworks like A/B testing and causal inference.
