Data Analytics Specialist
7 months ago
Data Analytics Specialist
**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
- AWS Certified Data Analytics Specialty preferred.
- Microsoft PL-300 Certified preferred.
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