Associate Process Manager
Full Job Posting
Role & Responsibilities
- Analyze business and customer datasets to identify trends, patterns, opportunities, and key performance drivers.
- Develop, maintain, and enhance interactive dashboards and reports using Power BI and/or Tableau.
- Translate business requirements into meaningful KPIs, analytical solutions, dashboards, and reporting frameworks.
- Perform ad-hoc analysis, data deep dives, and root-cause analysis to support business decision-making.
- Prepare clear and actionable insights using effective data visualization and storytelling techniques.
- Validate data accuracy, consistency, and completeness across reports and analytical outputs.
- Collaborate with business, technology, and data teams to understand requirements and deliver analytical solutions.
- Document KPI definitions, analytical methodologies, assumptions, and reporting logic to ensure consistency and reus e.
- Must Have Skills:
- Strong proficiency in SQL, including joins, CTEs, aggregations, subqueries, and window functions.
- Strong hands-on experience with Power BI and/or Tableau for dashboard development and data visualization.
- Strong Excel skills, including advanced formulas, pivot tables, lookups, and data analysis.
- Strong analytical and problem-solving skills with the ability to investigate and interpret complex datasets.
- Ability to translate business requirements into measurable KPIs, reports, and analytical solutions.
- Good understanding of data quality, validation, and basic data modeling concepts.
- Ability to communicate analytical findings clearly to technical and non-technical stakeholders.
- Good to Have:
- Python/Pandas for data analysis, automation, and data preparation.
- Experience with cloud data platforms such as Snowflake, BigQuery, Databricks, Azure, or AWS.
- Understanding of statistical concepts such as hypothesis testing, correlation, regression, A/B testing, and confidence intervals.
- Experience with Git/GitHub or other version-control tools.
- Experience working with large-scale datasets and analytical data models.
- AI / GenAI
- Experience using Generative AI / LLM tools for data exploration, SQL generation, analysis, documentation, or workflow automation.
- Familiarity with prompt engineering and responsible use of AI in analytics.
- Exposure to AI-assisted BI, natural-language analytics, or automated insight generation.
Qualifications
- Experience with cloud data platforms such as Snowflake, BigQuery, Databricks, Azure, or AWS.
- Experience with Git/GitHub or other version-control tools.
- Familiarity with prompt engineering and responsible use of AI in analytics.
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