Job Description

Job Title Senior Data Analyst

Description

Provide innovative analytical insights within the Data Products Program
Conduct detailed data analysis on data used across business units to evaluate business processes
and improve on/create new features
Respond to data and product related inquiries in real time to support business and technical
teams
Perform various data analytics in SQL and MS Excel using statistical models or industry accepted
tools
Provide relational database expertise to construct and execute SQL queries to be used in data
analysis activities
Provide data solutions, tools, and capabilities to enable self-service frameworks for data
consumers
Provide expertise and translate the business needs to design; and develop tools, techniques, and
metrics, and dashboards for insights and data visualization
Responsible for developing and executing tools to monitor and report on data quality
Responsible for establishing appreciation and adherence to the principles of data quality
management, including metadata, lineage, and business definitions
Provide support to Tech teams in managing security mechanisms and data access governance.

Requirements
A high level of mathematical ability.
The ability to analyze, model and interpret data.
Problem-solving skills.
A methodical and logical approach.
The ability to plan work and meet deadlines.
Accuracy and attention to detail.
Interpersonal skills.
Team work skills.
Written and verbal communication skills.
Education:

Employers often prefer data analysts with a Master s degree in Analytics, Computer Science, or Data Science; Mathematics or in a related field and 3-5 years of industry experience in data analysis using SQL

Certifications: CIPM, CFA, and/or CAIA certification(s) with proven track record of relevant technical experience; SQL and relational database knowledge are required for the senior data analyst position in the financial sector

Knowledge: The senior data analyst position is an advanced data management role that requires extensive experience. Employers often look out for at least 7-10 years of industry experience as a Business/Data Analyst with 3-5 experience in data analysis using tools such as SQL and Excel

Employers also seek applicants with competence in the following areas: Understanding of Scripting experience in (Python, Perl, JavaScript, Shell); Practical knowledge of data in various forms (data warehouses/SQL, unstructured data environments/PIG,HIVE, Impala); Familiarity with BI reporting tools (i.e. Tableau and Business Objects); Experience working within process management and improvement methodologies Lean, Six Sigma, etc. and demonstrating knowledge of data governance, data quality management concepts and data quality tools (i.e. Informatica DQ); Understanding of Agile development methodologies, software design patterns, network design and architecture; Experience in quantitative analysis and statistical modelling

A high level of mathematical ability. The ability to analyze, model and interpret data. Problem-solving skills. A methodical and logical approach. The ability to plan work and meet deadlines. Accuracy and attention to detail. Interpersonal skills. Team work skills. Written and verbal communication skills. Education: Employers often prefer data analysts with a Master s degree in Analytics, Computer Science, or Data Science; Mathematics or in a related field and 3-5 years of industry experience in data analysis using SQL Certifications: CIPM, CFA, and/or CAIA certification(s) with proven track record of relevant technical experience; SQL and relational database knowledge are required for the senior data analyst position in the financial sector Knowledge: The senior data analyst position is an advanced data management role that requires extensive experience. Employers often look out for at least 7-10 years of industry experience as a Business/Data Analyst with 3-5 experience in data analysis using tools such as SQL and Excel Employers also seek applicants with competence in the following areas: Understanding of Scripting experience in (Python, Perl, JavaScript, Shell); Practical knowledge of data in various forms (data warehouses/SQL, unstructured data environments/PIG,HIVE, Impala); Familiarity with BI reporting tools (i.e. Tableau and Business Objects); Experience working within process management and improvement methodologies Lean, Six Sigma, etc. and demonstrating knowledge of data governance, data quality management concepts and data quality tools (i.e. Informatica DQ); Understanding of Agile development methodologies, software design patterns, network design and architecture; Experience in quantitative analysis and statistical modelling

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