02/28/2023 updated

**** ******** ****
100 % available

Senior Data Analyst

Lekki, Nigeria
Only remote
BSc. Electrical ad Electronics Engineering
Lekki, Nigeria
Only remote
BSc. Electrical ad Electronics Engineering

Profile attachments

CV - Samuel Momodu

Data AnalysisAtlassian JiraGoogle BigQueryCloud ComputingCommunicationComputer ProgrammingData CleansingExtract Transform Load (ETL)Data VisualizationData WarehousingGoogle DocsGitHubGoogle AnalyticsPython (Programming Language)PostgreSQLMariaDBNLTK (NLP Analysis)NumPyMicrosoft Power BISQL DatabasesSQLAlchemySalesforce TableauAtlassian TrelloGoogle CloudJupyterGitpandasMatplotlibScikit LearnSlackQlikviewHeap (Data Structure)Looker AnalyticsData Pipeline
I am a Data Analyst with over 6 years of experience utilizing various skills and tools to generate actionable insights from data. I have extensive knowledge in programming languages like Python, SQL, and SQLAlchemy and data analytics tools such as Google Analytics, Tableau, Power BI, Jupyter, Looker, and Heap. I am also well-versed in using cloud computing platforms such as Google Cloud Platform, as well as data warehouses such as BigQuery and MariaDB. I have experience in data cleaning, data pipelines, data visualization, and ETL/ELT. Additionally, I am proficient in the use of MS Excel, Google Spreadsheet, Word, Powerpoint, Outlook, Git, Github, Qlik, NLTK, Numpy, Pandas, Postgres, Matplotlib, and Scikit-learn. I have the ability to effectively collaborate on projects using tools such as JIRA, Trello, and Slack.

Experience

Professional experience5 - 10 years
Freelancer since2018

Languages

GermanGoodEnglishNative speaker

Project history

Senior Data Analyst

Rays Consulting

Marketing, PR and design

10-50 team member

  • Investigated & identified customer trends, resulting in 25% growth of insights-driven decisions & optimizing products to generate $1M.
  • Analyzed market segment data to pinpoint new opportunities, ultimately increasing new customers by 400%.
  • Analyzed key performance indicators to help develop design epics, marketing strategies and sales tactics, impacting existing customer revenue growth by 20%.
  • Oversaw conversations with stakeholders to figure out data requirements for projects. Key Achievements.
  • Used insights from analysis to remodel marketing strategy, which led to an increase in customer conversion rate by over 40%.
  • Maintained data warehouses and data pipelines, which aided the data-driven decisions culture of individual teams, leading to an increase in revenue of over 15% quarterly.

Senior Data Analyst

1001 Builders

Architecture & Civil Engineering

50-250 team member

  • Explored and analyzed customer experience KPIs to discover over $100K in operational efficiency opportunities and shaped commercial options to deliver 40% growth.
  • Researched data sources to identify over $2M in cost savings, eliminating wasted efforts and reducing operating expenditures by 15%.
  • Synthesized findings into reports that convinced business decision-makers to invest resources in strategies leading up to a 20% increase in revenue.
  • Performed data quality checks to locate and correct data issues.
  • Evaluated raw datasets to identify and interpret design trends, which increased Net Promoter Score from the company's clientele by over 40%.

Data Analyst

Cedaa D'Vine

Goods & Retail

500-1000 team member

  • Examined existing processes for areas of improvement and uncovered an additional $1M in potential new business revenues, resulting in a 10% increase.
  • Developed remarketing strategies, which led to increased simplicity for customers along our sales funnels.
  • Surveyed an 8,000-person user base to identify areas of dissatisfaction with client products, resulting in a 15% reduction in customer churn.
  • Analyzed $100K of datasets to uncover valuable user insights & growth opportunities, increasing sales by 25%.

Data Analyst Intern

Shaka Industries

Industry & Mechanical Engineering

10-50 team member

Cleaned large datasets and used various statistical techniques to collect, analyze, and interpret data.
Identified data issues to maintain data models. Created detailed weekly reports that measure the performance of business policies.

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