Data Analyst
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Type: Contract to Hire
Location: Orlando, FL
Description
Synergy Solutions is hiring a dependable Data Analyst for contingent trade assignments with leading employers. Utilize your skills in short-term projects that demand precision, safety, and reliability in a fast-paced setting.
Position Overview
• Responsible for performing routine and ad-hoc analysis to identify actionable business
insights, performance gaps and perform root cause analysis.
• The Data Analyst will perform in-depth research across a variety of data sources to
determine current performance and identify trends and improvement opportunities.
• Collaborate with leadership and functional business owners as well as other personnel to
understand friction points in data that cause unnecessary effort, and recommend gap
closure initiatives to policy, process, and system.
Job Duties & Responsibilities
• Participate in the creation, validation, and implementation of statistical models.
Participate in the improvement of performance of these models over time to ensure
accuracy, statistical confidence, and business goal alignment
• Identify trends and actionable insights to inform and enable qualitative and quantitative
data-driven decisions across the organization
• Participate in the recommendation, promotion, and auditing of best practices related to
data usage, reporting standards, dashboard formats, visualization style, and analysis
methods
• Participate in communicating the significance of statistical findings using business
acumen and vernacular common to the utilities industry including use of safety
terminology and metrics
• Participate in discussions with stakeholders regarding data, analyses, visualizations,
conclusions and recommendations in a manner that influences decisions and outcomes
• Participate in deep data analysis, research, and studies relative to business discovery use
cases
• Collaborate with I.T. and external consultants in decisions related to data modeling,
dimensionality, data granularity, fit-for-use architecture, and overall data governance
• Participate in performing data mining for new business insights; interpret data; draw
conclusions; communicate findings to relevant stakeholders
• Develop strong understanding of company data sources, relationships, and best practice
usage; • Lead / participate in troubleshooting and debugging efforts
• Prepare and present visualizations, dashboards, and reporting
• Update data visualizations and dashboards
• Identify and escalate data anomalies that might affect accuracy
• Verify information integrity of reports, dashboards, and analysis
• Generate scheduled and ad hoc reports
• Generate documentation related to "reporting and analysis" development,
implementation, and support
• Participation in deep data profiling efforts to gain an understanding of the raw data
available for analysis. Participation in data mining efforts as part of a data science or
machine learning exercise to identify themes and trends for further analysis
• Participation in identifying trends, drawing conclusions, and summarizing results derived
from data analysis to produce business-relevant and actionable conclusions
• Participation in transforming information into actionable insights
• Perform routine research and analysis to identify data trends, anomalies, and actionable
insights that are applicable to the company
• Coordinate assigned departmental programs, projects, and activities; respond to
program customers to identify needs and resolve issues; act as a resource for other
departments
• Identify and research gaps in departmental programs; identify opportunities and
recommend and/or implement improvements
• Research and recommend new technologies, programs, and procedures
• Support operational software and technical applications related to the department
• Perform other duties as assigned.
Qualifications
• Bachelor’s degree in Data Science, Statistics, Applied Math, Computer Science, Business,
or related field of study from an accredited college or university
• Minimum of three (3) years of experience in data analytics, or working in a data analyst
environment.
• Strong written, oral, and interpersonal communications skills
• Able to prioritize and coordinate multiple projects to meet deadlines
• Working knowledge of all, but not limited to, the following: Processes for leveraging data
from data warehousing / data mart / data lake environments
• Visualization Development - Generate analysis through data visualizations from multiple
data sets using standard best-in-class analytics software
• Query complex data structures and derive information for reporting, visualizations, and
statistical analysis
• Requirements gathering and analysis; Basic Analytics - Perform basic data analysis to
include data profiling, data quality, joining of data tables, graphing, basic trend analysis,
data segmentation
• Ad Hoc Query Development - Quickly develop, test, and provide ad hoc (one-time)
information based on a business request leveraging internal or external data and using
standard querying toolsets; Report Development - Create reports from multiple data sets
using standard best-in-class reporting software
• SQL - basic query and data manipulation skills including selects, inserts, updates, table
joins, and grouping; Visualization (Qlik, PowerBI, Cognos, Tableau) - advanced skills in a
best-in-class data visualization tool to include data preparation, rationalization of
visualization type, standard charting (time series, Pareto, bar, area, multi-axis, geospatial,
scatter plots, etc.), filtering, drill-downs, drill-throughs, navigation, dashboard creation,
deep understanding of user interface and effective presentation
• Excel - advanced skills including graphing, Pivot Tables, VLOOKUP, and multi-sheet
references
• Experience working with a best-in-class DBMS (Oracle, SQL Server, etc.) to extract and
transform data for reporting, analysis, or data science
• Familiarity with all, but not limited to, the following: Enterprise resource planning (ERP)
software (JD Edwards EnterpriseOne) and specialty software programs used to assemble
business operations data in the functional area of assignment (billing, budget,
accounting, workforce management, etc.)
• Familiar with a data warehouse / data mart OLAP environment leveraging data in star
schemas, snowflake schemas, and similar data structures
• Familiar with data modeling in the context of transforming data from an OLTP system to
an OLAP or other data warehouse related structure. Familiar with the importance of how
data is modeled to support the needs of a data reporting and analysis environment
• Familiarity with generally accepted data and information privacy standards (GDPR, PCI,
PII, HIPAA, etc.)
• Familiarity with leveraging large data sets for data science, machine learning and related
analysis
• Dashboard Development - Gather requirements, identify metrics and goals, leverage
data sources, select appropriate dashboard objects, and implement a dashboard using a
best-in-class tool
• Project Management - Facilitate, create, implement, and manage a project or projects
using MS Project or a similar project tracking tool; ability to define, document, and
communicate a project charter, resource assignments, risks, issues, and status over the
course of a project
• Query Optimization – ability create / modify SQL or other query code to ensure request
has minimal impact on the target database and executes in the most efficient manner
possible
• Knowledge / application of related industry, organizational, and departmental policies,
practices and procedures, legal guidelines, ordinances and laws
• Predictive Model Development - Leverage historic internal and external data to generate
predictive business models forecasting trends and providing insights with relevant
statistical confidence measures and using appropriate statistical methods
• Process flow documentation
• Related industry, organizational and departmental policies, practices and procedures;
legal guidelines, ordinances and laws.
• Ability to apply data quality assurance and troubleshooting to data profiling, analysis,
and reporting
• Ability to apply appropriate data cleansing and transformation techniques to prepare
data for reporting and analysis
• Demonstrate strong analytical ability to identify appropriate analysis, data anomalies,
trends, etc.
• Advanced presentation skills leveraging appropriate software, adapting to audience, and
excellent written and grammatical skills
• Work with minimal supervision; self-directed; seeks assistance when needed
• Excellent written and verbal communications skills
• Use advanced Microsoft Office Suite (Excel, PowerPoint, Word, Outlook, etc.) and
standard office equipment (telephone, computer, copier, etc.); o Make arithmetic
computations using whole numbers, fractions and decimals, rates, ratios, and
percentages
• MS Access - advanced skills including relational table joins, data transformation through
joins, filtering, updates, and summarization, reporting (preferred)
• Reporting (Cognos, OBIEE, Crystal) - advanced skills in standard columnar reporting,
requirements gathering, data preparation requirements, report creation, testing,
scheduling, and deployment. (preferred)
EEOC
Synergy Solutions is an equal opportunity employer. In keeping with the values of Synergy, we make all employment decisions without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight. The list of duties and responsibilities outlined above is representative and may not be a complete and detailed list of tasks. Employee must perform any and all other duties assigned by his or her supervisor. Additionally, this job description does not constitute a contract of employment and that the company may exercise its employment-at-will rights at any time.