HomeData Science JobsAdvance Auto Parts | is Hiring | Sr. Financial Analyst | BigDataKB.com...

Advance Auto Parts | is Hiring | Sr. Financial Analyst | BigDataKB.com | 06-04-22

Job Location: Hyderabad/Secunderabad

  • The FPA Technical Analyst provides analytics and decision support at a corporate level supporting the executive staff as well as the broader finance community. The Technical Analyst will be on a team responsible for a shared reporting analytics infrastructure as well as directly providing reporting, analysis, and insight to the executive teams based on that infrastructure.
  • The successful candidate will be able to leverage a variety of tools analytical capabilities to support analysis across different functional areas of the business and their impacts to overall company financial performance.
  • The candidate will need to gather/develop the required datasets, apply a variety of techniques to analyze/test business hypotheses, and then summarize back the findings (with clear data/method driven substantiation). This position is in the Corporate Analytics team and has the potential to significantly influence the direction of the company and the financial performance.

ESSENTIAL DUTIES AND RESPONSIBILITIES include the following. Other duties may be assigned.

  • Partner with the broader finance/business community to stay abreast of current business concerns, potential opportunities, and information needs

  • Access and Integrate information/data from a variety of sources for analytics and reporting

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    Design methodologies to understand and forecast key aspects of financial/operational performance

  • Employ a variety of analytical techniques to discover, identify, and conclude ad-hoc analysis both reactively to leadership requests and proactively as opportunities are identified

  • Develop and automate the delivery of analytical methods and standardized reporting to be used in Executive level presentations or distributed to end users

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    Contribute to the broader financial/Enterprise tools roadmap in partnership with Finance/IT leadership

  • Define and document core business metrics, definitions, and logic collaborating with the business teams

  • Deliver analysis and findings to leadership and business teams often through formal presentation

  • Maintain knowledge and stays current of developments in the fields of technology, business intelligence, data warehousing, data science, and emerging technologies (machine learning, AI, etc.)

SKILLS

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Technical Qualifications: Experience with multiple analytical tools and methodologies, as well as the discernment of which to apply in different environments and use cases is necessary.

  • Strong experience in DBA ETL in environments like MS SQL/ Snowflake /Oracle/Azure etc

  • Proficient in SQL [Building queries/models]

  • Experience in Snowflake is an added advantage

  • Automation/Analytical experience in R, Python, Other scripting languages etc.

  • Development experience with reporting / analytical tools such as ( Power BI , Tableau, SAS, Oracle BI)

  • Ability to apply analytical methodologies (Statistical Modeling, Financial Analysis, Market/Competitive Research)

  • Ability to define problems, collect data, perform analysis, establish facts, and draw valid conclusions
  • Exposure to machine learning and AI type concepts is a plus
  • Ability to present information and respond to questions from groups of senior management, department heads, and the Finance/IT/Business teams
  • Attention to quality, reconciliation, and accuracy are critical as the audience is often executive level staff and the decisions being made are significant in scope/impact
  • Creativity and vision to recommend ways to evolve our infrastructure, process, and analytic capabilities

EDUCATION and/or EXPERIENCE

  • Bachelor s degree in Engineering, Technology, Business, Economics, Mathematics or related required (Masters in Analytics, Business, or Mathematics a plus)

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