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.
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.
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Analytics - OtherRole: Data Science & Analytics - OtherEmployement Type: Full time