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Salary
≈ $84k – $161k per year (Estimated)
Location
In office (Redmond, 5am - 10am)
Seniority
Senior · 8+ years exp

Confirmed on the employer's own hiring board on Oct 17, 2026. First seen by Alion on Oct 17, 2026.

Overview
Company
Impact
Profile match
Tech Mahindra is an MNC provider of IT, networking, and BPO services to various verticals & horizontals. With 1.2 lakhs professionals across 90 countries, it is valued at US$4.7 Billion. Ranked #15 in Forbes Digital List.
Backed by Seafund

Job Description

  • Skill Set :

    SQL,Python,cloud,CRM,Airflow,Senior Marketing Analyst,Audience Strategy & Insights

  • Total Experience :

    5.00 to 10.00 Years

  • No of Openings :

    1

  • Job Post Date :

    19/08/2026

  • Job Expiry Date :

    31/10/2026

  • Domain :

    IT

  • Location :

    REDMOND [United States]

  • Job Reference No :

    4101539

Job Summary

Data Analyst V (Senior Marketing Analyst, Audience Strategy & Insights)

Hybrid, SF, NYC or MPK

Senior Marketing Analyst, Audience Strategy & Insights

Clients 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

8+ 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

Req Intake Template

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

Preferred Qualifications

Hands-on pipeline building with dbt, Airflow, or equivalent orchestration tools

Familiarity with Hive and Unidash, or comparable large-scale query and dashboarding environments

Working knowledge of a customer data platform, preferably Salesforce Data Cloud, including segment creation, Calculated Insights, and activation

Exposure to Salesforce Marketing Cloud and marketing automation workflows

Statistical modeling across propensity, LTV, attribution, forecasting, and experiment design

Fluency with CRM and account-level data models

Advanced Google Sheets/Excel, including pivot tables, lookups, and complex formulas

Basic Python for automation and API utilization

The pay range for this role is $155k to $160k per annum including any bonuses or variable pay. Tech Mahindra also offers benefits like medical, vision, dental, life, disability insurance and paid time off (including holidays, parental leave, and sick leave, as required by law). Ask our recruiters for more details on our Benefits package. The exact offer terms will depend on the skill level, educational qualifications, experience, and location of the candidate.

“Tech Mahindra is an Equal Employment Opportunity employer. We promote and support a diverse workforce at all levels of the company. All qualified applicants will receive consideration for employment without regard to race, religion, color, sex, age, national origin, or disability. All applicants will be evaluated solely on the basis of their ability, competence, and performance of the essential functions of their positions with or without reasonable accommodations. Reasonable accommodations also are available in the hiring process for applicants with disabilities. Candidates can request a reasonable accommodation by contacting the company ADA Coordinator at [email protected].”

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