Senior Data Analyst-Data Analytics and Insight (Contractor)

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The Knights of Columbus is a tax-exempt Catholic fraternal benefit society that provides financial security to members and their families through our life insurance, long-term care insurance, disability income insurance, investment and annuity products. Charity is at the core of our missions: our profits are donated to help those in need and to support our faith - $1.73B over the past ten years.

While we have many employees who are not Catholic, we follow the Church’s teachings in our investment strategies and our employee benefits. As part of our religious mission, we support the pro-life cause by contributing to the March for Life and pregnancy resource centers, we oppose assisted suicide and euthanasia, we are evangelists for the Catholic faith, and we help Christians who are facing religious persecution in the Middle East. We all work together to support our two million members as they volunteer to help others in their parishes and communities around the world.

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Overview

This role will be part of a diversified analytical team, whose aim is to expand new and upcoming data science and predictive methodologies, to provide strategic market insights that enable effective, data driven decision-making for business units, while staying closely aligned to brand strategy and priorities.

The Senior Data Analyst is responsible for identifying, building, and maintaining data analytics solutions to meet the needs of business users. This role will produce analytics products by working with the business and the other data analysts to delivering outcomes of moderate to advanced complexity. This role will serve as a mentor and advisor to mid-level and junior data analysts.

Core Responsibilities

Actively collaborate with business leaders to understand their business goals and objectives and provide them with new data analytics solutions to enable them to expand markets and grow membership, sales, investments, and charitable giving through the following:

• Enhancing existing; as well as developing new predictive analytics work product, visualizations, and workflows to analyze complex business issues, offering actionable insights and solutions for driving operational enhancements and enterprise growth through strategic data-driven decisions.

• Identifying and enhancing valuable data sources (within the organization and externally) through the enrichment of existing in-house data with third party data sources.

• Communicating insights through the development and implementation of data visualizations, dashboards, and reports for internal and external use.

• Collaborating with Department managers, IT, IT Security, Data Warehouse, vendors, and contractors with regards to enterprise and departmental data needs.

• Remaining current on new analytical trends, practices, technologies, and solutions, where appropriate to ensure their timely introduction for competitive advantage.

• Grow a culture of data analytics by providing training, awareness, and other events such as “data days” for employees in the business whose duties encompass data and analytics.

• Meeting with stakeholders and making communication easy and transparent regarding project issues and decisions.

Skills Qualifications

• Analyze, interpret, and present data using industry relevant software i.e. Snowflake, Alteryx, Tableau, Power BI, ArcGIS or other industry software.

• MS Fabric and Power BI administration experience

• Effective oral and written skills.

• Being comfortable talking about technical matters with businesspeople and business matters with technical people.

• Demonstrated success at getting buy-in for ideas with a demonstrated affinity for metrics.

• Excellent team-building, motivating, and conflict-resolving qualities.

• Ability to manage key customer relationships, including senior managers.

• Ability to analyze information to find trends or diagnose problem areas.

• Be decisive – ownership of the data gathered and the ability to make informed, critical decisions quickly.

Education

• BS or BA required. Advanced degree in Business, Data, Statistics, or a field related to essential duties of the position preferred.

• 5-7 years of experience in data modeling, analysis, and understanding of relevant business and data requirements.

• Record of business process improvement using data and statistical analysis

• Effective verbal and written communication skills to work with both business and technical partners

• Demonstrated ability to conduct statistical or mathematical modeling

• Demonstrated success in providing projects and teams to achieve milestones and deliverable’s ability

Physical Demands

Must be able to remain in a stationary position for a majority of the workday.

Compensation

Authorization to work in the United States is required.

This position is not eligible for visa sponsorship.