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Description
POSITION RESPONSIBILITIES:
•Use SQL, Tableau and other appropriate tools interrogate data (profile, map & aggregate) to fulfill both ad-hoc and solution development requests
•Use Python or R, develop advanced analytics techniques such as predictive modelling, retention analysis, and cluster or cohort analysis
•Gather, analyze, document and validate the needs of the request originator and any other key stakeholders
•Recognize opportunities to automate processes for optimization and increase efficiency
•As an overlay to all work, provide continual assistance with the identification, assessment, and resolution of data quality issues
•Support the use of governed referential data amongst the team, the wider data analytics community, request originators, and other stakeholders
•Working closely with assigned PMO staff and a Business Analyst, assist in the fulfillment of projects from planning through to implementation
•Adhere to organization and department standards and processes such as Change Management, Information Security, and Data Governance
•Identify value-add opportunities that the analytics team can assist with and overlooked touch-points with data that may need to be understood for impacts and/or opportunities
•Provide quality support and maintain a professional relationship with peers, management, other staff, and members through cooperation, mutual trust and respect
•Perform other duties as assigned, when needed
SKILLS AND/OR QUALIFICATIONS:
•Bachelor's degree, relevant professional qualification or acceptable industry experience
•5+ years of relevant experience
•Ability to present complex information in an understandable and compelling manner
•Intermediate to advanced capabilities with SQL
•Experience developing statistical models or advanced analytics with R, Python, and/or SAS
•Proven successful experience developing visualizations with Tableau or a similar BI tool
•Ability to organize and manipulate data sets to extrapolate conclusions
•Working knowledge and awareness of statistical techniques (regression modeling, classification, etc.)
•Knowledge of and experience with software development teams, industry best practices, regulations & compliance, and quality assurance techniques
•Able to identify and research data anomalies (e.g. mismatched records, nulls, repeating records)
•Previous experience in Financial Services is strongly preferred
•Excellent critical and analytical thinking skills
•Strong problem solving skills
•Experience in an Agile/Scrum Development environment preferred
•Excellent task management, organizational, and communication skills with great attention to detail
•Excellent written skills to formalize recommendations to Senior Management
•Able to be productive without supervision
•Willing to learn using available resources
•Strong interpersonal skills and ability to solicit participation and input from others
•Experience with MS-Office with particularly strong skills in Word, Visio, and Excel
Requirements
Microsoft SQL Server, SQL Server Development, Snowflake, Tableau
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