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1

sr. business data analyst

  • Acted as a liaison between the Business and the Technical teams (BI and DI) to understand the requirements and break them down in a logical unit of work
  • Created a robust self-serve reporting framework in tableau that cut down the design analysis time by 3x
  • Identified data tracking needs and ensured they were implemented to perform actionable analysis
  • Supported launch and provided learning on marketing campaigns
  • Analyzed customer data from A/B tests and website trends to help assess the impact of a change
2

senior business data analyst

  • Creating and maintaining Tables in Data lake for Reporting team through complex ETL process(Using Rapidminer, Tableau Prep, R Programming, CMD commands).
  • Mentoring peers and Reporting team to write complex SQL queries(Oracle SQL) for adhoc data requests and new report creation.
  • Traveled to our headquarters in Germany and helped in the initial set up of Tableau for the organization.
  • Creating Interactive tableau dashboards with the management for process improvement in respective team.
  • Creating and maintaining Excel and Access applications (with VBA) for better & controllable data entry and to store history of transactions.
  • Helping Reporting team in automation and scheduling of Reports (Mainly using VBA, R and CMD commands). Was able to reduce 9 hours weekly workload through automation.
  • Guiding, nurturing the junior BA’s and Reporting team with weekly sessions on VBA, Tabeleau, SQL. 
3

business data analyst

  • Responsible for maintaining Transactional & Hierarchical enterprise data using the Master Data Management solution (MDS)
  • Providing various customer related insights to Performance Management teams
  • Work on updating and maintaining Enterprise Customer Hierarchies
  • Maintaining & Implementing the Data Governance policies agreed upon by the company
4

business data analyst

  • Redesigned the entire data infrastructure of the company, including major overhauls of Looker Business Reporting and Amazon Redshift Data Warehouse, with emphasis on scalability, efficiency and accuracy for business reporting.
  • Met with business stakeholders periodically – talked through existing pain points as well as enhancement requirements, developed JIRA sprints and implemented them in an AGILE fashion.
  • Conducted and participated in brainstorming sessions to come up with and work on some deep dive analysis projects such as marketing attribution spend analysis, supply/demand inventory analysis, etc. focusing on process improvement and additional revenue generation.
  • Worked with end users of business reports to ensure accurate data reporting as well as timely resolution of bugs. Version control of source code was managed using Git and scheduled runs were performed via Python and Drone.
  • Helped on board new hires around data infrastructure and business reporting; managed multiple data interns ensuring their professional and technical growth in addition to assisting them complete their projects.
5

business data analyst

  • Redesigned data collection process and reduced manual errors by 80% across 20+ global customers
  • Enhanced system modules to meet operational requirements and in the process increased sales
  • Organized strategic meetings with development, product management and technical lead to inculcate changes to software that met customer requirement.
  • Web scraping and getting data from websites to analyze for matrices and business insights & modelling.