Data Analyst - Portsmouth

Are you interested in applying your analytical and technical concepts expertise to further your career? Do you enjoy working in a collaborative, fun environment where success is rewarded?

Join us as Data Analyst where you will be responsible for focusing on end-to-end data analysis, including requirements gathering, data profiling, data mapping, data aggregation, and data visualization. This will require proficiency in interpreting data, trends, patterns in complex data sets, and technical expertise with SQL and Tableau.

Pay: Salaried position. Based on experience.

Hours: Full time, Monday – Friday, 8:30 – 5:00

Work location: Portsmouth, NH

The Day to Day:

• Using SQL, Tableau and/or other appropriate tools interrogate data (profile, map & aggregate) to fulfill both ad-hoc and solution development requests.
• Independently or in collaboration with a Business Analyst, 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.

We Can Offer You:

• Training to support your career goals.
• The chance to make a difference in your community, through day-to-day interactions and volunteerism.
• Career growth opportunities.
• Paid vacation and holidays.
• Comprehensive medical/dental/life benefits.
• 401(k) plan.
• Tuition assistance.

Experience and Qualifications:

• Bachelor’s degree, relevant professional qualification or acceptable industry experience required
• 1-2 years of experience
• Previous experience in Financial Service strongly preferred.
• Intermediate capabilities with SQL
• Experience with Tableau or a similar visualization/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.

Physical Requirements:

• Ability to stand for up to 2 hours.
• Ability to lift boxes up to 20 pounds.
• Ability to use computers for up to 8 hours.
• Ability to travel to other work locations as required, if needed.

If you are looking for an exciting career, Service Credit Union is the place! Join us today!

Equal Opportunity Employer