Job role:
As a data analyst, you will be responsible for compiling actionable insights from data. We are seeking a skilled and detail-oriented Data Analyst to join our team. The ideal candidate will collect, organize, analyze, and interpret large datasets to support business decision-making and identify trends or opportunities. Your role will involve driving initiatives to optimize for operational excellence and revenue.
Responsibilities:
- Gather, clean, and validate data from various sources (databases, APIs, and third-party tools).
- Maintain and improve data accuracy and integrity.
- Ensure that data flows smoothly from source to destination so that it can be processed
- Utilize strong database skills to work with large, complex data sets to extract insights
- Filter and cleanse unstructured (or ambiguous) data into usable data sets that can be analyzed to extract insights and improve business processes
- Identify new internal and external data sources to support analytics initiatives and work with appropriate partners to absorb the data into new or existing data infrastructure
- Build tools for automating repetitive asks so that bandwidth can be freed for analytics
- Collaborate with program managers and business analysts to help them come up with actionable, high-impact insights across product lines and functions
- Work closely with top management to prioritize information and analytic needs
- Create dashboards and reports using visualization tools (e.g., Power BI).
- Conduct statistical analyses (e.g., regression, hypothesis testing) to support predictive and descriptive insights.
- Assist in building data models to enhance forecasting capabilities.
Requirements:
- Bachelors or Masters in a quantitative field (such as Engineering, Statistics, Math, Economics, or Computer Science with Modeling/Data Science), preferably with work experience of over 3 years.
- Proficiency in SQL for querying and database management.
- Strong skills in Python, R, or Excel for data analysis and modeling.
- Proven problem solving and debugging skills.
- Familiar with database technologies and tools (SQL/R/SAS/JMP etc.), data warehousing, transformation and processing. Work experience with real data for customer insights, business and market analysis will be advantageous.
- Experience with text analytics, data mining and social media analytics.
- Statistical knowledge in standard techniques: Logistic Regression, Classification models, Cluster Analysis, Neural Networks, Random Forests, Ensembles, etc.
- Excellent communication and presentation skills is a MUST