LoveLocal - Senior Data Analyst - Python SQL

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

• 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