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Marketing & CRM Data Analyst

Jainam Broking Limited

India · On-site Full-time Today

About the role

About the Role

As a Data / Marketing / Business Analyst at Jainam Broking Limited in Noida, you will play a key role in translating complex data into actionable business insights across Marketing, Product, and Business functions. Join Jainam Broking Limited to be part of a fast‑growing financial services organization that values a data‑driven decision culture. You will have the opportunity for competitive compensation, growth, and exposure to the equity markets in a dynamic fintech environment.

Responsibilities

  • Owning end-to-end marketing performance measurement across various channels such as paid, organic, referral, and brand channels.

  • Building full‑funnel analytics models to track the customer journey from impression to revenue generation.

  • Conducting campaign performance analysis, incrementality studies, and ROI tracking.

  • Supporting customer acquisition, engagement, and retention strategies through data insights.

  • Identifying growth opportunities across customer lifecycle stages, especially focusing on Margin Trading Facility (MTF).

  • Conducting forecasting, scenario modeling, and business performance analysis.

  • Enabling self‑service analytics for business stakeholders and automating recurring reporting.

  • Translating complex datasets into clear business narratives and developing marketing attribution models.

  • Applying advanced SQL and Python for data analysis, along with utilizing BI tools like Power BI or Tableau.

  • Performing hypothesis testing, regression analysis, and A/B testing to drive data‑driven decision‑making.

  • Owning end-to-end marketing performance measurement across various channels such as paid, organic, referral, and brand channels.

  • Building full‑funnel analytics models to track the customer journey from impression to revenue generation.

  • Conducting campaign performance analysis, incrementality studies, and ROI tracking.

  • Supporting customer acquisition, engagement, and retention strategies through data insights.

  • Identifying growth opportunities across customer lifecycle stages, especially focusing on Margin Trading Facility (MTF).

  • Conducting forecasting, scenario modeling, and business performance analysis.

  • Enabling self‑service analytics for business stakeholders and automating recurring reporting.

  • Translating complex datasets into clear business narratives and developing marketing attribution models.

  • Applying advanced SQL and Python for data analysis, along with utilizing BI tools like Power BI or Tableau.

  • Performing hypothesis testing, regression analysis, and A/B testing to drive data‑driven decision‑making.

Qualifications

  • Bachelors degree in Engineering, Statistics, Mathematics, Economics, Finance, or a related field.
  • MBA in Analytics, Marketing, or Strategy (preferred).
  • Approximately 14 years of experience in Data Analytics, Marketing Analytics, or Business Analytics, preferably in fintech, trading platforms, or digital consumer businesses.

About Jainam Broking Limited

Jainam Broking Limited is a fast‑growing financial services organization that values a data‑driven decision culture. The company offers competitive compensation, growth opportunities, and exposure to the equity markets within a dynamic fintech environment.

Requirements

  • Bachelors degree in Engineering, Statistics, Mathematics, Economics, Finance, or a related field.
  • MBA in Analytics, Marketing, or Strategy would be preferred.
  • Around 14 years of experience in Data Analytics, Marketing Analytics, or Business Analytics, preferably in fintech, trading platforms, or digital consumer businesses.

Responsibilities

  • Owning end-to-end marketing performance measurement across various channels such as paid, organic, referral, and brand channels.
  • Building full-funnel analytics models to track the customer journey from impression to revenue generation.
  • Conducting campaign performance analysis, incrementality studies, and ROI tracking.
  • Supporting customer acquisition, engagement, and retention strategies through data insights.
  • Identifying growth opportunities across customer lifecycle stages, especially focusing on Margin Trading Facility (MTF).
  • Conducting forecasting, scenario modeling, and business performance analysis.
  • Enabling self-service analytics for business stakeholders and automating recurring reporting.
  • Translating complex datasets into clear business narratives and developing marketing attribution models.
  • Applying advanced SQL and Python for data analysis, along with utilizing BI tools like Power BI or Tableau.
  • Performing hypothesis testing, regression analysis, and A/B testing to drive data-driven decision-making.

Benefits

competitive compensationgrowthexposure to the equity markets

Skills

A/B testingBI toolshypothesis testingmarketing attribution modelsPower BIPythonregression analysisSQLTableau

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