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Aptita
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Data Analyst

Data Analyst

Aptita

6 - 9 years

15 - 18 Lacs

bengaluru karnataka india

Posted:4 weeks ago| Platform:

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Skills Required

data engineering reports etl reporting leadership analytics checks writing sql analysis reliability consistency documentation support workflow finance billing reconciliation pipeline database looker python ml scripting dashboard development automation airflow collaborative

Work Mode

On-site

Job Type

Full Time

Job Description

Role Title: Data Analyst / Data Engineer
Function: Data Engineering & BI Reports To: CTOLocation: Mumbai / BangaloreWorking Style: HybridRole PurposeThe Data Analyst / Engineer is responsible for building robust ETL pipelines, ensuring data hygiene, enabling business intelligence reporting, and supporting key decision making processes across product, operations, and leadership. This role is critical in ensuring reliable, timely, and consistent data availability for analytics, product intelligence, and operational visibility.Key Role Expectations (R/A/C/I) Responsible

Building, maintaining, and optimising ETL pipelines (ingestion, cleaning, validation).
Creating and managing dashboards for business, ops, KAM, and product teams.
Ensuring daily data refreshes, quality checks, and anomaly detection.
Writing complex SQL queries and preparing structured datasets for analysis. Accountable
Data accuracy, freshness, and reliability across core tables.
Quality and consistency of dashboards and reports.
Documentation of data sources, transformations, and logic.
Timely delivery of analysis and data support. Consulted
Product & Data Science for data requirements and features.
Ops for understanding workflow and operational metrics.
Finance for billing, revenue, and reconciliation datasets. Informed
Leadership on insights, trends, and performance patterns.
Engineering for data pipeline dependencies.

Key Competencies Knowledge Essential

Data modeling, ETL processes, data warehousing concepts.
Strong understanding of SQL and database structures.

Desirable

Knowledge of BI tools: Metabase, Looker, Tableau.
Basics of Python, ML concepts. Skills Essential
SQL (advanced), Python scripting, ETL tools.
Dashboard development and KPI reporting.
Data cleaning, transformation, and structuring.
Strong analytical problem solving.

Desirable

Automation of pipelines and reporting workflows.
Exposure to Airflow or similar orchestrators. Attitudinal / Behavioural Traits
High ownership of data quality
Calm and structured even during high-volume requests.
Collaborative and responsive.

Clarity, discipline, and consistency in documentation.
Experience & Education

6 -9 years in Data Engineering/Analytics.
Technical degree preferred.

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Data Analyst