Job Overview

We are seeking a highly analytical and tech-savvy Business Analyst with strong expertise in predictive
modeling, data analytics, and business intelligence tools. The ideal candidate combines business acumen
with hands-on experience in tools such as Python, R, Power BI, and SQL, and can convert complex data into
meaningful insights that drive strategic business decisions.

You will work closely with business teams to understand challenges, design data-driven solutions, and
communicate outcomes through compelling data narratives and visualizations.

Key Accountabilities

Role and Responsibilities:

• Develop and apply predictive models and machine learning techniques (e.g., regression,

classification, clustering) to support key business initiatives.

• Translate business requirements into analytical problems and deliver actionable insights and

recommendations.

• Build and maintain interactive dashboards and reports using Power BI, Tableau, or similar tools.
• Extract, clean, and transform data using SQL, Python, and R to support analysis and reporting needs.
• Work cross-functionally with marketing, operations, finance, and product teams to identify and
analyze trends, opportunities, and performance drivers.

• Design and execute experiments and A/B tests to measure impact and optimize processes or

campaigns.

• Present findings to stakeholders clearly and concisely, ensuring data-backed decision-making at all

levels.

• Contribute to the development and enhancement of automated reporting systems and data

pipelines.

Key Performance Indicators (KPIs):

Analytical Impact

• Number of predictive models built and deployed successfully (e.g., churn, lead scoring,

segmentation).

• Accuracy and performance of predictive models

• Number of business problems translated into data-driven solutions.

• Quality of insights generated (as measured by stakeholder feedback or adoption rates).
• Improvement in decision-making speed or accuracy due to analytical support.

AGMC/HR/JD