Job Description
<p><p><b>Job Summary :</b><br/><br/>Auriga IT is seeking a proactive, problem-solving Data Analyst with 35 years of experience owning end-to-end data pipelines.<br/><br/>Youll partner with stakeholders across engineering, product, marketing, and finance to turn raw data into actionable insights that drive business decisions.<br/><br/>You must be fluent in the core libraries, tools, and cloud services listed Responsibilities :</b></p><p><br/><b>Pipeline Management :</b></p><br/>- Design, build, and maintain ETL/ELT workflows using orchestration frameworks (e.g., Airflow, dbt).<br/><br/><b>Exploratory Data Analysis & Visualization :</b><br/><br/>- Perform EDA and statistical analysis using Python or R.<br/><br/>- Prototype and deliver interactive charts and dashboards.<br/><br/><b>BI & Reporting :</b><br/><br/>- Develop dashboards and scheduled reports to surface KPIs and trends.<br/><br/>- Configure real-time alerts for data anomalies or thresholds.<br/><br/><b>Insights Delivery & Storytelling :</b><br/><br/>- Translate complex analyses (A/B tests, forecasting, cohort analysis) into clear recommendations.<br/><br/>- Present findings to both technical and non-technical audiences.<br/><br/><b>Collaboration & Governance :</b><br/><br/>- Work cross-functionally to define data requirements, ensure quality, and maintain governance.<br/><br/>- Mentor junior team members on best practices in code, version control, and Skills :</b><br/><br/>- You must know at least one technology from each category below:.<br/><br/><b>Data Manipulation & Analysis :</b><br/><br/>- Python: pandas, NumPy.<br/><br/>- R: tidyverse (dplyr, tidyr).<br/><br/><b>Visualization & Dashboarding :</b><br/><br/>- Python: matplotlib, seaborn, Plotly.<br/><br/>- R: ggplot2, Shiny.<br/><br/><b>BI Platforms :</b><br/><br/>- Commercial or Open-Source (e.g., Tableau, Power BI, Apache Superset, Grafana).<br/><br/><b>ETL/ELT Orchestration :</b><br/><br/>- Apache Airflow, dbt, or equivalent.<br/><br/><b>Cloud Data Services :</b><br/><br/>- AWS (Redshift, Athena, QuickSight).<br/><br/>- GCP (BigQuery, Data Studio).<br/><br/>- Azure (Synapse, Data Explorer).<br/><br/><b>Databases & Querying :</b><br/><br/>- RDBMS.<br/><br/>- Strong SQL Skill (PostgreSQL, MySQL, Snowflake).<br/><br/>- Decent Knowledge of NoSQL :</b></p><p><br/>- Bachelors or Masters in a quantitative field (Statistics, CS, Economics, etc.)</p><br/>- 35 years in a data analyst (or similar) role with end-to-end pipeline ownership.<br/><br/>- Strong problem-solving mindset and excellent communication skills.<br/><br/>- Certification of power BI, Tableau is a Skills & Attributes :</b><br/><br/>- Familiarity with version control (Git) and CI/CD for analytics code.<br/><br/>- Exposure to basic machine-learning workflows (scikit-learn, caret).<br/><br/>- Comfortable working in Agile/Scrum environments and collaborating across Company :</b></p><br/>Hi there! We are Auriga IT.<br/><br/>We power businesses across the globe through digital experiences, data and insights.<br/><br/>From the apps we design to the platforms we engineer, we're driven by an ambition to create world-class digital solutions and make an impact.<br/><br/>Our team has been part of building the solutions for the likes of Zomato, Yes Bank, Tata Motors, Amazon, Snapdeal, Ola, Practo, Vodafone, Meesho, Volkswagen, Droom and many more.<br/><br/>We are a group of people who just could not leave our college-life behind and the inception of Auriga was solely based on a desire to keep working together with friends and enjoying the extended college life.<br/></p><br/></p> (ref:hirist.tech)