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Data Analytics Engineer / BI Engineer

Data Analytics Engineer / BI Engineer

Auriga It

3 - 7 years

9 - 13 Lacs

Jaipur

Posted:1 week ago| Platform:

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Skills Required

Data Analytics RDBMS Data Manipulation PostgreSQL MySQL Snowflake Data Analysis power BI Tableau SQL Python

Work Mode

Work from Office

Job Type

Full Time

Job Description

Job Summary

Auriga IT is seeking a proactive, problem-solving Data Analyst with 35 years of experience owning end-to-end data pipelines. Youll partner with stakeholders across engineering, product, marketing, and finance to turn raw data into actionable insights that drive business decisions. You

must

be fluent in the core libraries, tools, and cloud services listed below.

Your Responsibilities:

Pipeline Management

Design, build, and maintain ETL/ELT workflows using orchestration frameworks (e.g., Airflow, dbt).

Exploratory Data Analysis & Visualization

Perform EDA and statistical analysis using
Python
or
R
.
Prototype and deliver interactive charts and dashboards.

BI & Reporting

Develop dashboards and scheduled reports to surface KPIs and trends.
Configure real-time alerts for data anomalies or thresholds.

Insights Delivery & Storytelling

Translate complex analyses (A/B tests, forecasting, cohort analysis) into clear recommendations.
Present findings to both technical and non-technical audiences.

Collaboration & Governance

Work cross-functionally to define data requirements, ensure quality, and maintain governance.
Mentor junior team members on best practices in code, version control, and documentation.

Key Skills:

You

must

know at least one technology from each category below:

Data Manipulation & Analysis

Python: pandas, NumPy
R: tidyverse (dplyr, tidyr)

Visualization & Dashboarding

Python: matplotlib, seaborn, Plotly
R: ggplot2, Shiny

BI Platforms

Commercial or Open-Source (e.g., Tableau, Power BI, Apache Superset, Grafana)

ETL/ELT Orchestration

Apache Airflow, dbt, or equivalent

Cloud Data Services

AWS (Redshift, Athena, QuickSight)
GCP (BigQuery, Data Studio)
Azure (Synapse, Data Explorer)

Databases & Querying

RDBMS
Strong SQL Skill (PostgreSQL, MySQL, Snowflake)
Decent Knowledge of NoSQL databases

Additionally

Bachelors or Masters in a quantitative field (Statistics, CS, Economics, etc.).
3-5 years in a data analyst (or similar) role with end-to-end pipeline ownership.
Strong problem-solving mindset and excellent communication skills.
Certification of power BI, Tableau is a plus

Desired Skills & Attributes

Familiarity with version control (Git) and CI/CD for analytics code.
Exposure to basic machine-learning workflows (scikit-learn, caret).
Comfortable working in Agile/Scrum environments and collaborating across domains.

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