Job Purpose: This role is responsible for managing data retrieval building reports and generate valuable insights from data that could drive business decision, identify business opportunities and shortcomings Principal Responsibilities, Accountabilities and Deliverables of Role:
Generate valuable insights from data that could drive business decision, identify business opportunities and shortcomings.
Managing Biweekly & Monthly analytics insights meeting and follow-up on the action items
Identify, analyze, and interpret trends or patterns in complex datasets.
Developing visual reports, KPI scorecards, and dashboards using Power BI for any new Products and services.
Build predictive models and machine-learning algorithms & Combine models through ensemble modeling.
Identify, analyze, and interpret trends or patterns in complex datasets.
Propose solutions and strategies to business challenges.
Translate business needs to technical specifications.
Managing the Mobile App tagging and ensure all features been tracked.
Collaborate with engineering and product development teams.
Connecting data sources, importing data, and transforming data for Business intelligence.
Automation of all Adhoc & ila Management report’s
Evaluate and improve existing analytics process.
Automation of the reports & dashboards thru the Power BI
Lead the development of the new use cases models using statistical and machine learning development tools
Empowers the team to maximize their contribution thru Power-BI Workshop Training and workshops.
Interpret data, analyze results using statistical techniques and provide ongoing reports.
Acquire data from primary or secondary data sources and maintain databases/data systems.
Assist in evaluating business processes, anticipating requirements, uncovering areas for improvement, and developing and implementing solutions.
Assist in developing and implementing data collection systems, data analytics and other strategies that optimize statistical efficiency and quality.
Assist in acquiring data from primary or secondary data sources and maintain databases/data systems.
Assist in identifying, analyzing, and interpreting trends or patterns in complex datasets.
Verify accuracy, develop databases, systems, and programs that facilitate econometric modeling.
Assist in the development of advertising campaigns that most effectively utilize technology resources.
Measure, report, analyze and make recommendations on all digital marketing campaigns, website, and social media.
Assist in development of new digital strategies to optimize customer experience.
Conducting meetings and presentations to share ideas and findings.
Effectively communicating insights and plans to cross-functional team members and management.
Experience:
3+ years of experience in building various data delivery mechanisms in Business Intelligence
Experience in data analysis, troubleshooting, etc. by writing SQL statements and stored procedures.
Experience working with Dimensional as well as Relational Databases such as MS SQL, Oracle, etc.
Experience working in an analytical capacity in areas such as business intelligence, data science or corporate strategy
Education:
BS in Mathematics, Economics, Computer Science, Information Management, Statistics, or related quantitative fields
