Data Analyst / Engineer
Job Description
We are looking for a data-driven professional to scale analytics capabilities across the organization and support strategic decision-making. The role involves analyzing large and diverse datasets, deriving actionable insights, and collaborating with cross-functional teams to guide product and business strategies.
The candidate will also work on proof of concepts, design analytical models, and communicate findings effectively to senior stakeholders.
Responsibilities
- Analyze large datasets across multiple platforms to extract meaningful insights
- Identify trends and patterns to support product and business strategy
- Work with cross-functional teams to gather analytical requirements
- Develop proof of concepts to validate analytical approaches
- Design and implement statistical models and testing methodologies
- Build reliable and efficient reporting systems
- Interact with vendors or partners on technical aspects and deliverables
- Present insights and recommendations to senior management
Requirements
- 1–4 years of experience in Data Analytics or Business Analytics
- Strong analytical, logical, and problem-solving skills
- Experience in data analysis tools and presentation of insights
- Strong SQL or NoSQL querying skills
- Knowledge of Python or R for data analysis
- Understanding of ETL processes and data warehousing (preferred)
- Familiarity with big data tools like Hadoop or Apache Spark (preferred)
- Ability to communicate complex ideas clearly
Skills
- Data Analysis and Data Mining
- SQL / NoSQL
- Python / R
- Statistical Analysis and Modeling
- Regression, Segmentation, Time Series Forecasting
- ETL and Data Warehousing
- Big Data Tools (Hadoop, Spark, BigQuery)
- Data Visualization (Tableau, Looker, Data Studio, Metabase)
- Reporting and Dashboarding
- Problem Solving and Communication