Data Analyst V

Akidev Corporation; New York (NY); On-site; USD 120,000 - 180,000; Full time

Job summary

Akidev Corporation in New York is seeking a Senior Marketing Analyst, Audience Strategy & Insights to drive audience segmentation and revenue sizing using expert SQL on large datasets. You will partner with Data Scientists and Data Engineers to define data pipelines and craft campaigns; present to senior leadership.

You will build automated reporting and dashboards to support cross-functional teams and campaign lifecycle decisions, shaping investments and product direction.

Qualifications

• 7+ years in marketing analytics, data science, or business analytics.
• Expert-level SQL across millions of records.
• Proven end-to-end audience or customer analysis with segmentation and revenue sizing.
• Partner with Data Scientists/Engineers to define data logic and pipelines.
• Background in B2B marketing with senior leadership communication.

Responsibilities

• Deliver deep audience analysis including segmentation and attribution.
• Define methodology and measurements for business questions.
• Pull, clean, and analyze large datasets with advanced SQL.
• Collaborate with Data Scientists/Engineers to define data models and pipelines.
• Build automated reporting and dashboards for recurring needs.
• Translate audience definitions into campaign-ready segments for marketing.
• Present findings and recommendations to senior leadership.

Skills

Expert SQL

Audience segmentation

Lifecycle & funnel analysis

Revenue opportunity sizing

CDP/CRM data modeling

Stakeholder communication

Presentation to senior leadership

Data pipelines collaboration

Python for automation

Education

Bachelor's degree in quantitative/technical field

Tools

dbt

Airflow

Tableau

Salesforce Data Cloud

Hive/Unidash (or equivalent)

Job description

Start/End Dates: 11/18/2026 – 11/17/2027
Tax Work Location: US – NY – New York
Job Title: Data Analytics & Engineering – Data Analyst V

Must-Have Skills
Expert SQL on large datasets — complex queries, CTEs, window functions, and query optimization against millions of records, including reconciling multi-source data and root-causing discrepancies
End-to-end audience/customer analysis — segmentation, lifecycle and funnel analysis, revenue opportunity sizing, and quantitative business cases with assumptions clearly stated; hands-on with a CDP (preferably Salesforce Data Cloud) to build and activate segments
Stakeholder communication and influence — translating complex data into clear direction and recommendations for XFN Marketing, Sales, and partner teams, and presenting to senior leadership
Pipeline building with dbt, Airflow, or equivalent orchestration, plus reporting/BI in a , environment (Hive, Unidash) or equivalent
Salesforce Marketing Cloud and marketing automation workflows; fluency with CRM and account-level data models
Statistical modeling (propensity, LTV, attribution, forecasting, experiment design) and basic Python for automation and API work

Senior Marketing Analyst, Audience Strategy & Insights

Business Messaging Marketing team is seeking a Senior Marketing Analyst who is both technically deep and business-minded. This role uses expert SQL and large, complex datasets to drive audience segmentation, audience strategy, and revenue opportunity sizing, and translates that analysis into recommendations that shape business, product, and investment decisions. The ideal candidate is comfortable partnering with Data Scientists and Data Engineers to define the data logic and pipelines behind audience and reporting systems, and has a track record of influencing senior leadership with clear, quantified insights.

Responsibilities

• Deliver deep audience analysis, including segmentation, lifecycle and funnel analysis, growth and churn signals, and revenue and adoption attribution. Size revenue opportunities and build the business case for which audiences to prioritize
• Define how a business question should be answered, including what to measure, the methodology to use, and which assumptions apply
• Pull, clean, and analyze large datasets (millions of records) using advanced SQL. Reconcile data across sources and root-cause discrepancies before they reach reporting
• Partner with Data Scientists and Data Engineers to define business logic, data models, and pipelines, and validate what is built
• Build automated reporting and self-service dashboards for recurring business needs
• Translate audience definitions into campaign-ready segments and signals in partnership with campaign and lifecycle owners
• Present findings and recommendations to senior leadership and cross-functional partners

Minimum Qualifications

• 7 years in marketing analytics, data science, or business analytics, and a Bachelor’s degree in a quantitative, technical, or business field, or equivalent
• Expert-level SQL, including complex queries, CTEs, window functions, and query optimization across datasets of millions of records
• Proven track record of owning audience or customer analysis end-to-end: segmentation, revenue opportunity sizing, and quantitative business cases, with assumptions and limitations clearly articulated
• Demonstrated ability to partner with Data Scientists and Data Engineers to define business logic and build data pipelines, manage complex multi-source data across CRM, product, engagement, and third-party sources, and stand up automated reporting and dashboards (e.g., Tableau)
• Background in B2B marketing, sales, or customer analytics, with a history of presenting to and influencing senior leadership on business or product decisions, and communication that lands with both technical and non-technical audiences