Omnibiz is an unified FMCG trade platform that eliminates the inefficiencies of traditional trade by digitizing the key stake holders. We bring together neighborhood retailers, distributors, 3rd party logistics partners and FMCG manufacturers onto a single platform. Omnibiz ensures retailers get better ROI and distributors / manufacturer grow volume and reach through wider distribution network.
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The Data Analyst will be responsible for analyzing information across our platform data sources to understand opportunities to increase the number and value of customers on our platform.
This will require an individual with good attention to detail, intermediate to advanced computer skills and ability to develop processes.
Responsibilities
Analysis and manipulation of multiple data sources utilizing Excel; will require use of VLOOKUP, PIVOT Table, and advanced filtering and sorting techniques.
Provide high quality finished dashboards, reports, and workbooks.
Understand key performance metrics and functional goals and ideate data solutions.
Provide quality assurance of imported data, working with quality assurance analysts if necessary.
Commissioning and decommissioning of data sets.
Processing confidential data and information according to guidelines.
Helping develop reports and analysis.
Generating reports from single or multiple systems.
Troubleshooting the reporting database environment and reports.
Training end-users on new reports and dashboards.
Providing technical expertise in data storage structures, data mining, and data cleansing.
Qualifications
Bachelor’s Degree with a major in a quantitative discipline (Computer Science, Engineering, Mathematics, etc.).
Minimum of 4 years' experience as a data analyst.
3+ years of hand on experience with big data including Hadoop/Hive and visualization tools such as Tableau, Power BI, Business Objects.
3+ experience writing SQL statements, pulling data, combining and performing analytics using query development tools like Toad, SQL Developer, HQL.
Ability to work with stakeholders to assess potential risks.
Ability to analyze existing tools and databases and provide solution and recommendations.
Ability to translate business requirements into non-technical, lay terms.
Demonstrated experience in handling large data sets and relational databases.
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