The Senior Data Analyst interacts cross-functionally with business development, sales, account management, and leadership to produce client-facing transaction volume forecasts and associated financial models. The Senior Data Analyst is responsible for owning and improving all processes for generating client transaction volume and financial forecasts, participating and leading deep dive analyses around program value and pricing, communicating with and delivering analysis to internal and external stakeholders, and ad hoc data analysis requests. The Senior Data Analyst reports to the Manager of Predictive & Product Analytics in the Pharma business unit.
We are in search of a driven, self-motivated team-player who will thrive in a constantly changing and time-sensitive environment. This role requires a candidate who can build effective stakeholder relationships and is energized by solving complex problems in the analytics space. A deep interest in data, a passion for collaboration and communication, and an analytic, probing mind are all necessities.
What You’ll Do
Like most growing companies, the job content of all positions varies daily as everyone pitches in to get the job done. Nonetheless, we try to maintain clarity with respect to employees’ primary responsibilities.
Own the continuous improvement of multiple complex processes used to produce client facing transaction volume and financial forecasts
Establish standards and templates for financial models designed to guide pricing strategy and operational planning
Incorporate market conditions, competitive landscape, and external data sources as part of the forecast production process
Identify opportunities for process improvement, automation, and self-service capabilities
Direct activities of junior team members
Produce, update, and share documentation of forecasting processes
Perform QA on our automated processes and investigate anomalies
Use Tableau, Excel, Python, and Alteryx for data visualization, exploration, automation, and stakeholder deliverables
The ideal candidate will be a natural collaborator with strong analytical skills and an innate drive to innovate.
BA/BS in mathematics, economics, finance, statistics, operations research, or related quantitative social/physical science
5+ years experience in a role primarily focused on data analysis; 3+ years in a forecasting oriented role
Proven understanding of time series forecasting methodologies, for example: ARIMA, ETS, Prophet
Experience with SQL and Python for advanced querying, data transformation, and automation
Strong critical thinking and problem solving skills
Experience explaining complex technical material to non-technical audiences
Ability to navigate ambiguity, prioritize, and meet tight deadlines
Desire to constantly learn and teach others what you know
Previous team lead or management experience a plus
These requirements represent the knowledge, skills, and abilities necessary to perform this job successfully. Reasonable accommodation can be made to enable individuals with disabilities to perform essential functions.
Must be authorized to work in the U.S, now or in the future, without support from CoverMyMeds.
CoverMyMeds, part of McKesson’s Prescription Technology Solutions, is a fast-growing healthcare technology company. Our mission: Help patients get the medications they need to live healthy lives. Our solutions seamlessly connect the health care network to improve medication access, increasing speed to therapy and reducing prescription abandonment for patients like you and me.
We hire ambitious people and make it a priority to invest in them by providing opportunities to grow their careers and connections within the community. On-site culinary team, flexible hours and paid benefits? Yeah, we have those too. But don’t take our word for it. We’ve been recognized as a “Best Place to Work” by Glassdoor, a “Best Company to Work For” by FORTUNE, and our employees have great things to say, too.
CoverMyMeds is an equal opportunity and affirmative action employer. We embrace diversity and are committed to creating an inclusive environment for all employees. Qualified applicants will be considered for employment without regard to race, religion, gender, gender identity, sexual orientation, national origin, age, disability or veteran status.