Assistant Manager/Data Analyst - Analytics - IT

Assistant Manager/Data Analyst - Analytics

Responsibilities :

- As a part of the analytics team, youll be responsible for designing and developing required data infrastructure and tools, including collecting, storing, processing and analyzing our data and data systems.

- You know how to work quickly and accurately, using the best solutions to analyze mass data sets, and you know how to get results.

Your job will require the following :

- Gather requirements, understand data across structures/dimensions

- Knowledge of data cleaning, wrangling, visualization and reporting, with an understanding of the best, most efficient use of associated tools and applications to complete these tasks. Experience in MapReduce is a plus.

- Experience processing large amounts of structured and unstructured data, including integrating data from multiple sources.

- Collaborates with analytics and business teams to improve data models that feed business intelligence tools, increasing data accessibility and fostering data-driven decision making across the organization.

- Implements processes and systems to monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it.

- Performs data analysis required to troubleshoot data related issues and assist in the resolution of data issues.

- Develop python codes, Modules, generic functions, deliver and deploy the same

- Good understanding of data mining, machine learning, natural language processing, or information retrieval.

- Partner with NLP, engineering and business teams to implement production ready codes

Requirements :

- A bachelors degree in STEM discipline

- Proficiency in Python is must for data processing, Data and statistical techniques, EDA

- 4+ years of SQL experience (No-SQL experience is a plus). Experience in MapReduce is a plus.

- Good understanding in developing ETL logics and codes

- Experience with schema design and dimensional data modeling

- Experience processing large amounts of structured and unstructured data, including integrating data from multiple sources.

- Experience with machine learning toolkits including, H2O, SparkML or Mahout

- A willingness to explore new alternatives or options to solve data mining issues, and utilize a combination of industry best practices, data innovations and your experience to get the job done.

- Ability in managing and communicating data warehouse plans to internal clients

- Experience designing, building, and maintaining data processing systems

- Familiarities with data processing and ML libraries like pandas, numpy, scikit-learn is a must

- Familiarity with Predictive models like Regression, Classification, Clustering and Forecasting

- A knowledge of technology infrastructure, specifically, big data technologies- Elastic Search/ Spark / H20 etc.

- Familiarity with platforms like google cloud, AWS, Azure etc.

- Familiarity with Spark/Pyspark

- Hands-on experience on BI solutions like Tableau, Power BI, Qlik, ThoughtSpot, Answer Rocket, Looker etc.