Analyst, Finance systems

Job Description

SUMMARY

The DnA Data Analyst provides analytics and decision support at a corporate level supporting the executive staff as well as the broader finance community. The Data 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).

ESSENTIAL DUTIES AND RESPONSIBILITIES

• Access and Integrate information/data from a variety of sources and bring it together into a structured environment for analytics and reporting
• Develop, maintain, and tune varying complex databases to ensure availability and integrity of data
• Automate integrations between data sources and processes to expedite availability of information, consistency in results, and minimize the cost structure to support the environment
• Perform and document detailed root cause analyses.  Work across multiple databases to investigate and isolate issues in the code base and outlier data affecting key performance metrics.
• Develop and automate the delivery of standardized reporting to be used in Executive level presentations or distributed via email/mobile to end users
• Employ a variety of analytical techniques to discover, identify, and conclude analysis both reactively to leadership requests and proactively based on our own curiosity/desire to move the business
• 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.)

Technical Qualifications:

• Ability to extract and integrate data leveraging technologies such as (SQL, Snowflake, ODBC, ETL Tools, Oracle, DB2, MS Access). 
• Familiarity with reporting / analytical apps such as (Oracle BI, Power BI, Tableau, SAS, Cognos, Bus Objects)
• Ability to automate reporting/analysis as well as operational processes (Python, R)
• 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 computer science, Engineering, Business or related required (Masters in Analytics or Mathematics a plus); and
• 2-5 years of systems / business analysis experience; or
• Equivalent combination of education and experience.

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