Manager, Data Analytics

Service Credit Union•Portsmouth, NH

1d•$105,000

About The Position

It's fun to work in a company where people truly BELIEVE in what they're doing! We're committed to bringing passion and customer focus to the business. Location: Portsmouth, NH Service Credit Union Corporate Headquarters Compensation: Starting at $105,000. Negotiable with experience This position will be responsible for leading the Data Analytics team to foster data driven insights across the organization. The Data Analytics Manager is responsible for supervising a team of Data Analysts in their effort to analyze, assess, develop, and deliver on the reporting and analytics needs of the business. The leader will oversee the analytics function and the related processes for ensuring accurate data collection, reporting, and analysis. By using statistical tools, technical concepts and collaborative initiative, the leader will work closely with various departments to ensure high quality, data driven reporting and analysis for the credit union. This position will also assist in implementing and maintaining a data driven culture and single source of truth, through effective data governance. Through inquiry, collaboration, and experimentation using data, this leader will help identify future strategic opportunities in partnership with other stakeholders across the organization. The role will lead complex end-to-end data analysis engagements, serving as both a team leader on group projects and as subject matter expert for more complex projects. Duties include requirements gathering, data profiling, data mapping, data aggregation, and data visualization development across business units. This will require advanced proficiency in interpreting data, trends, patterns in complex data sets, and technical expertise with SQL and Tableau.

Requirements

Demonstrated managerial skills and previous management experience preferred.
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.
Practical knowledge of data in various forms (data warehouses/SQL, unstructured data environments)
Familiarity with BI reporting tools (i.e. Tableau, Power BI or similar BI tool)
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.
Understanding of Agile development methodologies, software design patterns.
Experience in quantitative analysis and statistical modelling.
Understanding of data infrastructure and ELT/ETL frameworks.
Ability to organize and manipulate data sets to extrapolate conclusions.
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).
Excellent critical and analytical thinking skills coupled with strong problem-solving skills.
Excellent task management, organizational, and communication skills with great attention to detail.
Excellent written skills to formalize recommendations to Senior Management.
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.
Education: Bachelor’s degree, relevant professional qualification or acceptable industry experience required.
Experience: 5 years of industry experience as a Business/Data Analyst.
Demonstrated work experience in a management or management-type role.

Nice To Haves

Previous experience in Financial Service strongly preferred.
Master’s degree preferred.

Responsibilities

Coordinate and execute the development and implementation of data quality standards, data protection standards, and adoption requirements.
Support the design, development, maintenance, and evaluation of statistical and predictive models to identify historical trends and forecast future performance.
Provide day-to-day direction and oversight for the Data Analytics team.
Ensure accuracy of data and deliverables of reporting and comprehensive policies and processes.
Engage with different functional teams and tools to develop and implement new predictive models and analyze their performance (e.g., next best product, member attrition, etc..).
Serve as a central coordinator for data governance, data access, and data usability for the organization.
Coordinate external data sources to eliminate redundancy and streamline the expense related to those services.
Proactively manage the development of ROI analysis on promotional campaigns as well as credit union products and services.
Assess the effectiveness and accuracy of all data sources and data gathering techniques for various type of analyses.
Oversee and evaluate data being pulled into data visualization and CRM software.
Work with other departments to identify data cleansing needs and find appropriate solutions.
Research and develop machine learning and data analysis techniques and models using Python or other data tools.
Oversight of the development and maintenance of dashboards for senior level executives.
Recognize opportunities to automate processes for optimization and increased efficiency.
Provide quality support and maintain a professional relationship with peers, management, other staff, and members through cooperation, mutual trust, and respect.
Maintain confidentiality regarding credit union policies and procedures, member financial data, personal information, and work-related events.
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.
As an overlay to all work, provide continual assistance with the identification, assessment, and resolution of data quality issues.
Working closely with assigned PMO staff and Business Analysts, 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.
As an overlay to all work, provide continual assistance with the identification, assessment, and resolution of data quality issues.
Perform other duties as assigned.