Bangalore, Karnataka, India
Information Technology
Full-Time
LoveLocal
Overview
Role Overview
As a Senior Data Analyst, you will help us unlock valuable insights from vast amounts of data.
You will play a key role in analyzing trends, building models, and developing data-driven strategies that will directly influence business decisions and help us serve our local communities more effectively. If you are passionate about data, machine learning, and problem-solving, this is the perfect opportunity for you.
Key Responsibilities
As a Senior Data Analyst, you will help us unlock valuable insights from vast amounts of data.
You will play a key role in analyzing trends, building models, and developing data-driven strategies that will directly influence business decisions and help us serve our local communities more effectively. If you are passionate about data, machine learning, and problem-solving, this is the perfect opportunity for you.
Key Responsibilities
- Business Strategy : Propose solutions based on data insights and help in formulating strategies for various business challenges.
- Data Analysis : Analyze datasets to discover trends, patterns, and relationships that can inform business decisions.
- Data Visualization : Present complex findings in a clear, actionable way using data visualization techniques. Create dashboards and reports that allow stakeholders to make informed decisions.
- Model Building : Build predictive models and machine-learning algorithms to address business challenges, enhance operational efficiency, and improve customer experience.
- Collaboration : Work closely with cross-functional teams, including engineering and product development, to ensure data integration and to turn business problems into data-driven solutions.
- Proven experience as a Data Analyst.
- Strong experience in data mining and statistical analysis.
- Proficiency in Python and SQL for data analysis and model building.
- Experience in analytics/ML libraries such as Pandas, Numpy, Scikit-learn, Scipy or similar libraries
- Experience with business intelligence tools (e.g., Tableau, Power BI, Looker) for data visualization.
- Experience with MPP databases such as Snowflake, Google BigQuery, or Amazon Redshift for large-scale data processing and analytics.
- Familiarity with cloud data platforms and architectures (e.g., AWS, Google Cloud Platform).
- Excellent problem-solving and analytical skills, with the ability to think critically and translate data insights into actionable business strategies.
- Excellent communication and presentation skills, with the ability to convey complex technical concepts to non-technical stakeholders.
- Experience analyzing customer and marketing data for e-commerce platforms.
- Exposure to various analytical & marketing platforms such as Google Analytics, CleverTap, Meta Ads, Google Ads, YouTube Analytics etc.
- Deep understanding of machine learning algorithms and operations research.
- Hands-on experience with Generative AI tools such as GPT (e.g., GPT-4, GPT-3), DALL-E, Claude etc.
- Exposure to AI-driven AutoML tools for automating model building and optimization (e.g., Google Cloud AutoML, H2O.ai, DataRobot).
- Databases : MySQL, MongoDB
- ETL Tools : Databricks Workflow, Apache Airflow
- Data Warehousing : Snowflake, Google Big Query
- Cloud Services : Google Cloud Platform, AWS, Microsoft Azure
- Programming Languages : Python
- Big Data Technologies : Apache Spark
- BI Tools : Tableau, Metabase
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