Sr. Data Analyst

About the Role

Key Responsibilities

• Drives data governance by actively promoting improved data governance practices, enforcing policy, and following data governance best practices.
• Writes SQL and Python code in support report generation, data analysis, data profiling and data quality rule development.
• Harmonizes data in the systems through a collaborative process with members from various business units.
• Establishes, maintains, periodically reviews and recommends changes to data governance policies, standards, guidelines, and procedures.
• Conducts audits to ensure that policies, procedures and metrics are in place for maintaining/improving the program.
• Aligns the Data Governance policy with the overall goals of the business strategy.
• Drives change in the organization to maximize the value of its data and plans for how the company will make those changes.
• Provides specialized consulting, analytical and technical support.
• Exercises judgment to identify, diagnose, and solve problems within given rules.
• Works independently and regularly handles non-routine situations.

Requirements

• Foundational proficiency in information and data strategy, managing change, Python scripting, and dashboarding with Power BI or Tableau.
• Advanced proficiency in data governance, IT standards and governance, data integrity, data quality, metadata management, SQL, and Excel.
• Intermediate proficiency in privacy governance technology enablement, data privacy, enterprise data management, ontology design, master data management, verbal and written communication, collaboration, analytical and problem-solving skills, influence skills, and data-driven decision making.
• Typically between 5 - 7 years of relevant experience and a post-secondary degree in a related field or an equivalent combination of education and experience.
• Deep knowledge and technical proficiency gained through extensive education and business experience.

Nice to Have

• Experience with data privacy and privacy governance technology enablement.
• Knowledge of enterprise data management and ontology design.
• Experience with metadata management and master data management.

Qualifications

• Post-secondary degree in a related field or an equivalent combination of education and experience.
• Typically 5-7 years of relevant experience.

Benefits & Perks

• Health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans.
• Performance-based incentives, discretionary bonuses, and other perks and rewards.
• Salaries will vary based on factors such as location, skills, experience, education, and qualifications.