Data Strategist

  • Full Time
  • Remote

Website Harmony Analytics

Change How The World Wins™

Who we are

Harmony Analytics™ is a public benefits corporation committed to act in the best interest of its shareholders and society through the advancement of an environmental, social and governance agenda. Harmony compiles and analyzes data to construct meaningful environmental, social and corporate governance (ESG) profiles, creating the standard for ESG ratings and reporting. Join our diverse team of talents, universities, and NGOs to help our clients express their values, get better returns, and Change How The World Wins™

Job Summary

The Data Strategist is responsible to develop, execute and maintain the data analytics frameworks and its activities in compliance with applicable audit standards, regulations, governmental requirements and policies consistent with strategic and operational objectives, mission and vision. The Data Strategist plays an integral role in partnering with analytics staff in using data analytics to identify material risks and underlying process deficiencies.

The Data Strategist is responsible for a disciplined approach to decision making that is risk based, data driven, agile to shifting demands and expectations of Harmony Analytics’ obligations, knowledge, skills, and experience necessary in the performance of internal audit services.

The ideal candidate has a strong knowledge of data analytics including software tools, programming languages like Python or R, and data visualization skills to better communicate findings.

The Data Strategist will be held accountable for the following responsibilities

  • Develop, execute and maintain data analytics framework and its activities.
  • Proactively identify data analysis that can be used by the internal analytics team in making strategic, informed decisions. Specifically, to support planning and scoping of the Harmony Analytics platform.
  • Demonstrate a practical understanding of data analysis concepts and basic programming techniques. Provide technical expertise on data extraction, data cleansing, data mining and analysis.
  • Develop new business intelligence (BI) solutions and maintain existing solutions to support data extraction (for end users).
  • Demonstrate ability to understand complex and diverse technology and identify sources and tools needed to deliver analysis and the Harmony Analytics platform.
  • Build relationships with business partners across the organization for data gathering, data initiative and data governance purposes.
  • Maintain existing data analytics projects and develop new projects that support the execution and administration of the IAAS’ mission and annual audit plan.
  • Proactively hold discussions with the Internal leadership to brainstorm on the complex analysis, develop the logic and script/code/workflows, and discuss limitations and any potential issues.
  • Provide quality service to stakeholders, which includes obtaining and demonstrating a strong understanding of the business process and associated data.
  • Identify and develop new analytics to support risk and control conclusions.
  • Perform data validation to ensure the completeness and accuracy of the data extracted and maintain the integrity of the extracted data.
  • Maintain and update the existing data analytics projects – refresh the data and generate new reports to support continuous auditing/monitoring.
  • Develop new and conduct existing training on a regular basis to encourage and facilitate the widespread use of analytics within the internal audit team.
  • Coordinate and communicate effectively with the Harmony Analytics team and other key stakeholders, as necessary, to meet objectives and with the support of the Harmony Analytics platform.
  • Contribute on audit engagements to effectively plan and scope all audit and risk management engagements with data analytic considerations, providing data expertise and insights.
  • Provide support and guidance to encourage and facilitate the widespread use of analytics within the internal audit team.
  • Conduct interviews and inquiries with auditees to understand business process, technology, and data to support audit scope and objectives.
  • Design, test, and deliver useful data insights (i.e., trends, patterns, outliers), to support the development of the scope and objectives and to identify risk and control weaknesses.

Experience Required

  • Minimum of five (5) years of data analysis is required.
  • Experience performing analysis on large data sets with emphasis on data extraction, data mining, test data creation, data validation, data manipulation, profiling, and visualization.

Knowledge, Skills, and Abilities

  • Strong experience in data analytics, reporting, data management, keying and linking, data handling and data wrangling.
  • Ability to understand complex and diverse technology infrastructure as it relates to data flows and business processes.
  • Strong analytic, data management skills, and problem-solving skills including the ability to combine complex datasets, identify and conduct appropriate analyses.
  • A wide knowledge and understanding of data collection methodologies, analysis, principles, and techniques.
  • Effective communication, leadership, and time management skills with the ability to act autonomously while being a team player.
  • Ability to communicate data and methodological details clearly and accurately to non-technical audiences.
  • Strong planning and organizational skills.
  • Able to act independently and be self-motivated.
  • Broad business acumen – ability to engage in a wide variety of business discussions and quickly learn new and/or complex concepts.

Get in touch

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