Senior Data Analyst - Digital (Customer Insights & Analytics)

POSITION RESPONSIBILITIES

• Explore, mine, and profile data across multiple large complex datasets to gain and interpret insights for use in statistical and quantitative analytics.
• Collaborate with both technical and non-technical stakeholders to translate business questions into analytical solutions.
• Support high-quality analytics delivery by conducting data quality checks, collaborating on data model design, and applying best practices for code documentation and storage.
• Conduct complex data manipulation and analysis with common programming languages.
• Track and report performance of multiple campaigns. Identify deviations and explain variances. Consolidate findings for business consumption.
• Develop business intelligence solutions designed to meet business needs.
• Mentor junior team members and engage with peer teams.

MINIMUM QUALIFICATIONS REQUIRED

• Bachelor’s degree and a minimum of 5 years of related experience.
• Experience with data analysis and statistical tools.
• Experience working in large databases.
• Experience in SQL and familiarity with common program languages for data analysis (SAS, Python, R).
• Experience analyzing large data sets and explaining results of analysis through concise written and verbal communication.

IDEAL QUALIFICATIONS PREFERRED

• 6 or more years related work experience in data analysis.
• Expert skills in SQL and working with relational databases.
• Experience in programming languages such as SAS, Python, R.
• Experience with data visualization tool (PowerBI, Tableau).
• Experience with one or more cloud databases.
• Experience working within an agile environment.
• Experience analyzing web and digital product data, such as website traffic, user behavior, and events generated by web applications.

PAY

M&T Bank is committed to fair, competitive, and market-informed pay for our employees. The pay range for this position is $113,300.00 - $188,800.00 Annual (USD). The successful candidate’s particular combination of knowledge, skills, and experience will inform their specific compensation.