Bain & Company is a global management consulting that helps the world's most ambitious change makers define the future. Across 65 offices in 40 countries, we work alongside our clients as one team with a shared ambition to achieve extraordinary results, outperform the competition and redefine industries. Since our founding in 1973, we have measured our success by the success of our clients, and we proudly maintain the highest level of client advocacy in the industry.
In 2004, the firm established its presence in the Indian market by opening the Bain Capability Center (BCC) in New Delhi. The BCC is now known as BCN (Bain Capability Network) with its nodes across various geographies. BCN is an integral and largest unit of (ECD) Expert Client Delivery. ECD plays a critical role as it adds value to Bain's case teams globally by supporting them with analytics and research solutioning across all industries, specific domains for corporate cases, client development, private equity diligence or Bain intellectual property. The BCN comprises of Consulting Services, Knowledge Services and Shared Services.
Who you will work with
This role is based out of the Visualization Centre of Excellence (CoE) at the BCN. Visualization CoE works closely with global Bain case teams, Bain Partners and end-clients providing them data analytics and business intelligence support using advanced data analysis and visualization tools (e.g., SQL, Python, Azure, AWS, Tableau, PowerBI, Alteryx etc.). The CoE is a one-stop shop for all case requests related to converting data into insightful visualizations tools (e.g., survey analytics, leadership KPI dashboards, etc).
What you'll do
Responsible for designing, building, and maintaining infrastructure and systems that enable the Extraction, Transformation, and Storage of large datasets for analysis
Work with Bain team or end-clients as an expert on specific platform/tool/language (Azure/AWS/Python/SQL etc.) in individual capacity or lead teams of analysts to design and deliver impactful insights
Support project lead in end-to-end handling of the entire process, i.e., requirement gathering, data cleaning, processing and automation
Investigate data to identify potential issues within ETL pipelines, notify end-users and propose adequate solutions
Ensure that data architecture is scalable and maintainable
Apply knowledge of data analysis tools like Azure Data Bricks, AWS Athena, Alteryx, etc. to support case teams with analysis of KPIs
Prepare documentation for further reference
The working style of the team would be to support product development; hence the pipelines and algorithm built should be scalable and automated
Support case leads in managing internal and external stakeholders, across instruments and workstreams to provide expertise in data management and tool expertise
Work under the guidance of a Team Lead / Team Manager / Sr. Team Manager, playing a key role in driving the team's overall answer and final materials, client communication, work planning, and team management
May also take responsibility for assigning work streams to Analysts, monitor workload; Provides tool based technical expertise to the junior team members when required
May deploy Data engineering solutions using CI/CD pipelines (GitHub, Cloud servers using Azure/AWS)
May lead client/ case team calls and communicate data, knowledge, insights and actionable next steps to the case team; relay implications to his/her own internal team
Keep abreast of new and current statistical, database and data warehousing tools & techniques
About you
Candidate should be a Graduate/Post-Graduate from top-tier College with strong academic records and with 3-5 years of relevant work experience in areas related to Data Management, Business Intelligence or Business Analytics. Hands-on experience in data handling and ETL workstreams
Concentration in a quantitative discipline such as Statistics, Mathematics, Engineering, Computer Science, Econometrics, Business Analytics, or Market Research is strongly preferred
Minimum 2+ years of experience in Database development on Cloud based platforms such as AWS/Azure
Working Experience with Python and Advanced SQL queries, Stored procedures, query performance tuning, index maintenance, etc.,
Experience of data modeling, data warehousing principles
Experience on ETL tools in anyone of the tools like Azure Datafactory, Databricks, AWS Glue etc.
Experience in reading data from different data sources including on premise data servers, cloud services and several file formats
Understanding of database architecture
Ability to prioritize projects, manage multiple competing priorities and drive projects to completion under tight deadlines
Should be a motivated and collaborative team player, who is a role-model and at-cause individual within the team and office
Excellent oral and written communication skills including the ability to communicate effectively with both technical and non-technical senior stakeholders
Ability to prioritize projects, manage multiple competing priorities and drive projects to completion under tight deadlines
Good to Have:
Exposure to CI/CD pipelines: GitHub, Docker, and containerization is a plus
Candidates with advanced certifications in AWS and Azure will be preferred
Experience on Snowflake/GCP is a plus
What makes us a great place to work
We are proud to be consistently recognized as one of the world's best places to work, a champion of diversity and a model of social responsibility. We are currently ranked the #1 consulting firm on Glassdoor's Best Places to Work list, and we have maintained a spot in the top four on Glassdoor's list for the last 12 years. We believe that diversity, inclusion and collaboration is key to building extraordinary teams. We hire people with exceptional talents, abilities and potential, then create an environment where you can become the best version of yourself and thrive both professionally and personally. We are publicly recognized by external parties such as Fortune, Vault, Mogul, Working Mother, Glassdoor and the Human Rights Campaign for being a great place to work for diversity and inclusion, women, LGBTQ and parents.
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