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Senior Data Analyst

Closing: Apr 12, 2024

This position has expired

Published: Mar 28, 2024 (28 days ago)

Job Requirements

Education:

Work experience:

Language skills:

Job Summary

Contract Type:

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Requirements
  • Experience in Business Intelligence and Data Analytics
  • Bachelor's Degree in a calculation intensive field such as Mathematics, Statistics, Computer Science, Engineering, Finance, etc.
  • 3 - 5 years of related experience in a Business Intelligence or Data Analytics role:
    • Experience using data analytics tools such as Power BI and/or Tableau
    • Experience with languages such as Python, SQL, etc.
    • Experience using Microsoft Office packages including Excel, PowerPoint, Word and Access
    • Adequate grasp of business and economic principles (macroeconomics, microeconomics, etc.)
  • Demonstrated ability to interpret data to derive business insights
  • Working knowledge of data mining principles: predictive analytics, mapping, collecting data from multiple data systems on premises and cloud-based data sources.
  • Understanding of and experience using analytical concepts and statistical techniques: hypothesis testing, designing tests/experiments, analyzing data, drawing conclusions, and developing actionable recommendations for business units.
  • Experience using analytics techniques to contribute to company growth efforts, increasing revenue and other key business outcomes.

Other requirements:

  • Strong quantitative and analytical skills with business knowledge and excellence in planning and execution.
  • High proficiency in Data Analysis tools and programming languages, particularly Python, SQL, and Power BI.
  • Strong knowledge of predictive modelling and machine learning algorithms/concepts.
  • Strong problem solving, good judgement, strategic and multidimensional thinker
  • Strong ability to plan and manage numerous processes, people and projects simultaneously.
  • Excellent communication, collaboration and delegation skills.
  • Ability to work independently or collectively to develop ideas and lead or contribute to initiatives that will support the attainment of revenue and/or attainment of market share
  • Proven ability to leverage technology to translate business requirements
  • Ability to manage multiple tasks and projects simultaneously, owns deliverables end to end, and partners with other teams to achieve goals

Start Up Environment:

  • Thrives in a fast paced, start-up environment with dynamic business priorities.

Responsibilities
Requirements
  • Experience in Business Intelligence and Data Analytics
  • Bachelor's Degree in a calculation intensive field such as Mathematics, Statistics, Computer Science, Engineering, Finance, etc.
  • 3 - 5 years of related experience in a Business Intelligence or Data Analytics role:
    • Experience using data analytics tools such as Power BI and/or Tableau
    • Experience with languages such as Python, SQL, etc.
    • Experience using Microsoft Office packages including Excel, PowerPoint, Word and Access
    • Adequate grasp of business and economic principles (macroeconomics, microeconomics, etc.)
  • Demonstrated ability to interpret data to derive business insights
  • Working knowledge of data mining principles: predictive analytics, mapping, collecting data from multiple data systems on premises and cloud-based data sources.
  • Understanding of and experience using analytical concepts and statistical techniques: hypothesis testing, designing tests/experiments, analyzing data, drawing conclusions, and developing actionable recommendations for business units.
  • Experience using analytics techniques to contribute to company growth efforts, increasing revenue and other key business outcomes.

Other requirements:

  • Strong quantitative and analytical skills with business knowledge and excellence in planning and execution.
  • High proficiency in Data Analysis tools and programming languages, particularly Python, SQL, and Power BI.
  • Strong knowledge of predictive modelling and machine learning algorithms/concepts.
  • Strong problem solving, good judgement, strategic and multidimensional thinker
  • Strong ability to plan and manage numerous processes, people and projects simultaneously.
  • Excellent communication, collaboration and delegation skills.
  • Ability to work independently or collectively to develop ideas and lead or contribute to initiatives that will support the attainment of revenue and/or attainment of market share
  • Proven ability to leverage technology to translate business requirements
  • Ability to manage multiple tasks and projects simultaneously, owns deliverables end to end, and partners with other teams to achieve goals

Start Up Environment:

  • Thrives in a fast paced, start-up environment with dynamic business priorities.

Job Description
Business Intelligence and Data Analytics:

  • Work with key stakeholders and team members to identify strategic and tactical business needs, and align appropriate data driven solutions to them.
  • Organize and drive successful completion of data insight initiatives through effective management of analyst and data employees and effective collaboration with stakeholders.
  • Partner with required team members to design and build targeted dashboards/reports and predictive models, to represent operational data in brief and intelligible format suitable for the target audience.
  • Develop scalable and recurring processes and reporting to support the organizational business needs.
  • Support and/or lead communication with subject matter experts across multiple departments and levels of leadership to define BI requirements and strategy.
  • Support the administration of business intelligence application including software maintenance, new user setup, and best practices across user and data governance.
  • Lead cross-functional projects using advanced data modeling and analysis techniques to discover insights that will guide strategic decisions and uncover optimization opportunities.
  • Play a critical role in leading Monitoring and Evaluation activities; data collection, planning and implementation of monitoring and evaluation tools that support MEL at an organizational and programmatic level.
  • Other responsibilities and tasks required to support organizational goals and objectives

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