Corporate Data Analytics and Reporting Analyst I #20-6163
Works independently with internal and external customers to
clearly articulate and define business problem(s) to be solved;
reviews data sources and preps needed data; performs required
analysis; applies accepted statistical methodologies where
applicable; documents the process that was followed and data
sources/tools used; ensures results have been validated
(statistically, if necessary); and prepares/presents findings that
are informative and audience appropriate to drive decision making
across various levels of the organization.
Duties and Responsibilities
Data Management: Reviews data sources and preps needed data.
Identifies existing and new data sources.
Performs data prototyping, if necessary, to agree what data
can/not be used.
Preps data for use in analysis and reporting, goes back to
source if problems are found, and identifies other
options/alternatives if problems cannot be resolved.
Performs review of data to ensure
completeness/accuracy/timeliness for the purpose of the
Ensures existing, approved, corporate tools used can
accept/integrate the data.
Where necessary (and if practical to be done within the delivery
timeframe of a project), facilitates the identification and use of
new tools and works with the Technical Review Committee to
authorize its use.
Analytics and Technical Acumen: Performs required analysis,
applies accepted statistical methodologies where applicable, and
documents the process that was followed and data sources/tools
Determines what kind of analytics will be performed
(descriptive, predictive, prescriptive) and defines/documents
Where appropriate, applies linear regression (correlation,
contingency table, ANOVA, inference, chi-square, t-test) and/or
time series methods (data set-up, conversions, trends,
decomposition, models, forecasts, confidence).
Utilizes appropriate tools to load, integrate, and analyze
Conducts analysis and documents findings, identifies unexpected
anomalies and root cause (if possible) and determines if analysis
can continue, identifies alternatives if anomalies cannot be
Ensures reproducibility of outcomes.
Documents entire analysis process, including business problem,
data sources, methods and tools used, project reference, and
Implements pre-emptive actions, where possible.
Project Definition and Coordination: Lead meetings
with internal and external customers to clearly articulate and
define business problem(s) of medium/high complexity and impact
(department/function specific, external customer centric, or part
of a corporate project).
Types of projects include descriptive and predictive
Applies a whole company perspective, draws upon previous
knowledge and experience, and -- where necessary -- researches
new/other approaches to identify and agree upon objectives,
approach, and success measures.
Works with customer to submit appropriate paperwork (ISS, TPDR,
etc.) and ensures necessary agreements are in place for external
Defines delivery milestones and negotiates timeframes, monitors
progress, and periodically notifies customer of status.
Effective Communication: Works primarily with department heads
or function leads to prepare/present findings that are informative
and audience appropriate
Reviews findings and outcomes with customer, ensures business
problem/objectives have been met, and prepares documentation of the
Where necessary, manage divergent views in the audience and
advises the internal/external customer on any recommendations or
options that will facilitate data and analysis driven decision
Prepares a presentation of the analysis, process followed, and
reviews it with the customer to ensure the results are audience
Other Duties/Functions: Performs all other miscellaneous
responsibilities and duties as assigned or directed. Trains others
on analytical and visualization tools
Functions as a team player within the department and embodies
Exempt or Non-Exempt Exempt
Bachelor's degree and four (4) years of demonstrated analytics
experience (or two years health care industry analytics experience
in relevant/similar positions); or an equivalent combination of
education and related work experience.
Strong verbal and written communicate skills.
Strong understanding of data (types, content reliability,
Strong problem solving and data collection, analysis, and
Strong understanding/use of dashboards, data visualization
tools, and advanced and custom graphics.
Strong organization and time management skills where individual
worked on multiple projects simultaneously and meet project
Proficiency in Microsoft Word, Excel, PowerPoint and
Proficiency with OLAP tools and databases.
Knowledge of statistical analyst software applications such as:
SQL, R/Python or SAS/SPSS.
Knowledge of one or more of the following: SSRS, Tableau or
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