Pacific Life needs an Operations Data Analyst to research and analyze operational data trends and support data-driven decisions to help move the company and its careers forward.
Requirements
Proficiency in data visualization tools such as Tableau, Power BI, or Business Objects.
Experience working with data platforms and technologies such as Snowflake, Alteryx, or similar.
Familiarity with operational data domains including Call Center metrics, Transactional Workflow, and Policy Administration systems.
Responsibilities
Supports Operations with developing, producing, and maintaining a variety of real time and historical reporting as requested.
Build knowledge of Operations and departmental business, process, and customers.
Consultatively collaborates with internal customers to identify and support reporting needs, even when initial objectives may be ambiguous.
Effectively utilizes established data analytics tools to extract insights from data sets
Partners with Sr. Data Analysts to identify best approaches on complex reporting requests, as appropriate.
Accurately uses historical data, statistical modeling and seasonality to develop long-term forecasting projections.
Constructs capacity and overtime models for team to accurately determine staffing needs aligned to forecasting needs and minimize expense.
Other
Preferably 4+ years within the financial services industry (or comparable equivalent), with experience in a highly service-focused, financial services Operations environment.
Demonstrated research and analysis skills; Excellent problem solving and critical thinking skills.
Strong communication skills and ability to clearly and concisely present findings back to various stakeholders, including leadership.
Adept at managing time to oversee multiple processes and meet multiple deadlines.
Able to work in a fast-paced environment with consistently changing priorities, remaining highly organized with an emphasis on accuracy and timeliness.
Ability to work collaboratively with all levels of individuals.
Able to work independently under minimal supervision.
