Job details

Data Analyst I

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As a community, the University of Rochester is defined by a deep commitment to Meliora - Ever Better. Embedded in that ideal are the values we share: equity, leadership, integrity, openness, respect, and accountability. Together, we will set the highest standards for how we treat each other to ensure our community is welcoming to all and is a place where all can thrive.

Job Location (Full Address):

280 Hutchison Rd, Rochester, New York, United States of America, 14627

Opening:

Worker Subtype:

Regular

Time Type:

Full time

Scheduled Weekly Hours:

Department:

210530 Economics Col

Work Shift:

UR - Day (United States of America)

Range:

UR URG 106

Compensation Range:

$44,419.00 - $62,186.00

The referenced pay range represents the minimum and maximum compensation for this job. Individual annual salaries/hourly rates will be set within the job's compensation range, and will be determined by considering factors including, but not limited to, market data, education, experience, qualifications, expertise of the individual, and internal equity considerations.

Responsibilities:

GENERAL PURPOSE
Supports the development of methods for data collection, analysis, and reporting for assigned area. Analyzes and interprets data using statistical techniques. Assists with the creation of presentations and reports based on findings, which includes collating, modeling, interpreting and analyzing data. Collects data requirements, analyzes and determines technical issues, and design ad-hoc reports. Collects, analyzes and documents business requirements and supports translation into function and system requirement specifications.

ESSENTIAL FUNCTIONS

Assists with tracking and compiling comprehensive business metric data for evaluating effectiveness of programs, processes, or practices. Protects and ensures confidentiality of data per applicable policies and procedures. Assists with building business solutions based on data.
Collects requirements and designs reports to meet data analysis needs. Assists in the preparation of detailed documentation and/or reporting. Supports audit process and assists with compilation of required documentation.
Updates and maintains the integrity of assigned databases on an ongoing basis as directed.
Prepares reports and recommendations based upon analysis of information gathered. May work with other departments as needed.
Assists in the development of standard operating procedures, process maps, code manuals, and project plans for all major reporting projects, as needed.
Other duties as assigned.

MINIMUM EDUCATION & EXPERIENCE

Bachelor's degree in statistical analysis, data base management, or related discipline and 1 year experience with data analysis or customer resource management systems required
Or equivalent combination of education and experience

KNOWLEDGE, SKILLS AND ABILITIES

Strong attention to detail required
Strong organizational, data analysis and problem solving skills required
Familiarity with statistics and statistical analysis preferred
Advanced knowledge of Microsoft Excel preferred
Ability to visually portray data preferred

The University of Rochester is committed to fostering, cultivating, and preserving an inclusive and welcoming culture to advance the University’s Mission to Learn, Discover, Heal, Create – and Make the World Ever Better. In support of our values and those of our society, the University is committed to not discriminating on the basis of age, color, disability, ethnicity, gender identity or expression, genetic information, marital status, military/veteran status, national origin, race, religion/creed, sex, sexual orientation, citizenship status, or any other characteristic protected by federal, state, or local law (Protected Classes). This commitment extends to non-discrimination in the administration of our policies, admissions, employment, access, and recruitment of candidates for all persons consistent with our values and based on applicable law.

Average salary estimate

$53302.5 / YEARLY (est.)

min

max

$44419K

$62186K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Data Analyst I, Rochester

Are you ready to kick start your career as a Data Analyst I at Harkness? At the University of Rochester, we pride ourselves on our commitment to a culture defined by equity, leadership, and integrity. In this full-time role, you'll dive deep into the world of data, embarking on tasks that involve data collection, analysis, and reporting. With a schedule of 40 hours a week, you’ll play a key part in evaluating the effectiveness of various programs and processes, using your keen analytical skills to collect requirements and develop insightful reports. Your day-to-day tasks will include using statistical techniques to analyze and interpret data and preparing presentations that illustrate your findings. In addition, you'll collaborate with other departments to build business solutions based on data and ensure the integrity of assigned databases. This position requires a Bachelor’s degree in statistical analysis or a related discipline, and ideally, you’ve spent about a year honing your data analysis skills. If you possess strong attention to detail, organizational skills, and a familiarity with statistical methods, we’d love to see you apply. At Harkness, we believe in the power of data to inform decisions and drive change, so come join us in making a difference through impactful analysis and collaborative work!

Frequently Asked Questions (FAQs) for Data Analyst I Role at Rochester

What are the main responsibilities of a Data Analyst I at Harkness?

As a Data Analyst I at Harkness, you will have opportunities to support data collection, analyze and interpret data using statistical techniques, and create engaging reports based on your findings. You'll be responsible for tracking metrics that evaluate the effectiveness of various programs and processes, as well as assisting in maintaining the integrity of databases.