HR Data Analyst

JOB SUMMARY

Coterra is seeking a HR Data Analyst to support data and analytics within the HR organization. The ideal candidate is action oriented, self-directed and comfortable working directly with leaders and HR stakeholders in collecting and analyzing human capital data. Coterra is looking for bright, motivated professionals looking to continue their career in the data analytics field.

ESSENTIAL DUTIES AND RESPONSIBILITIES

• Develops analytics solutions and data visualizations that are scalable, repeatable, effective, and meet the expectations of the decision-makers and stakeholders.
• Evaluates human capital data sources and resolves complex issues related to data collection and analysis.
• Partners with team to create data collection templates and requirements to ensure consistency and validity of data utilized.
• Performs statistical analysis of workforce data. Analyzes and mines data from a variety of sources to identify patterns and correlations among the various data points.
• Provides recommendations of additional data elements to support future analytics.
• Recommends best practices methods and formats for future analytics, to include forecasting and predictive human capital analytics.
• Evaluates HR data sources to identify potential improvement areas or recommendations; works to identify data linkages and narratives across human capital functions. Maps and traces relevant data to both assess data quality and eliminate irrelevant data. Identifies missing data and recommends new data collection and correlation processes.
• Supports stakeholders by developing advanced reporting and analytics.
• Trains stakeholders on new human capital data and dashboard procedures or protocols and on the operation and maintenance of data sources.

SKILLS AND EXPERIENCE

• Advanced proficiency in Excel required; knowledge of coding languages such as SQL, R a plus
• Knowledge of Data Warehouse methodologies, dimensional modelling, ETL and data pipelines
• Ability to create data flow diagrams and technical design documents.
• 4 years of experience working with human capital data, systems, and processes.
• 4 years of experience with data analysis using statistical tools to identify, analyze, and interpret patterns and trends in complex data sets.
• Experience with Human Resource Information Systems (HRIS) processes and translating multiple, complex human capital data sets into reports and dashboards; Workday experience is a plus.
• Understanding of technical issues in using analytical tools and experience assessing tools risks and opportunities to an organization.
• Experience in developing and validating statistical models and predictive analytics.
• Experience establishing data management and governance procedures.

Preferred Qualifications:

• TIBCO Spotfire experience
• Workday Reporting experience

EDUCATION REQUIREMENTS

• Bachelor's degree in human resource management, Math, Statistics, Economics, Computer Science, or any other quantitative field.

YEARS OF EXPERIENCE

• 3 years' experience as a data analyst in projects involving implementation of data warehouse, data lake and Business Intelligence reports and dashboards

• 3 years of experience with major data visualization tools such as PowerBI and Tableau.

TRAVEL REQUIREMENTS

Percent of Travel Required: Less than 5% travel for mandatory meetings and/or trainings is required.

WORKING CONDITIONS AND PHYSICAL DEMAND

Work is typically performed indoors in an office environment. Incumbents must be able to perform work which includes typing, sitting, and standing. In the event that incumbent visits operations worksite, personal protection equipment, including head protection, hearing protection, safety glasses, safety shoes, and flame-resistant clothing is required. Safety rules including OSHA and DOT requirements are strictly enforced. Employees must be willing to travel and work extended hours on short notice.

EEO-1 STATEMENT

Coterra Energy Inc. is an equal opportunity employer. Applicants and employees are considered for positions and are evaluated without regard to mental or physical disability, race, color, religion, gender, national origin, age, genetic information, military or veteran status, sexual orientation, marital status or any other protected Federal, State/Province or Local status unrelated to the performance of the work involved.