Data Analyst

POSITION PURPOSE

As a Data Analyst, you play a pivotal role in gathering, analyzing, and interpreting vast datasets to generate actionable insights that support strategic decision-making. Collaborating with cross-functional teams, you will identify trends, drive process enhancements, and optimize overall business performance. Your responsibilities will encompass the entire lifecycle of analytical work, from identifying key business questions to data collection and ETL, applying diverse statistical, machine learning, and mathematical techniques, and delivering valuable insights to decision-makers. In this role, a keen focus on the interplay between data, business processes, and end-users will be crucial.

ESSENTIAL FUNCTIONS AND BASIC DUTIES

Job Responsibilities:

• Gather, clean, and transform raw data from diverse sources into well-structured datasets suitable for analysis.

• Partners with program leadership to identify any known challenges and develop solutions with Salesforce data.

• Answers specific questions about datasets, mainly within Salesforce.

• Examines data for trends and patterns.

• Creates dashboards and other visualizations to help stakeholders digest data.

• Focuses on proactive aspects of data and how it can be applied to drive business and programmatic decisions.

• Employ data models, algorithms, and statistical techniques to derive meaningful insights from complex datasets.

• Conduct exploratory data analysis to uncover patterns, trends, and relationships to inform strategic business initiatives.

• Utilize statistical analysis, hypothesis testing, and predictive modeling for forecasting, risk assessment, and optimization endeavors.

• Collaborate with stakeholders to define data requirements, establish data quality standards, and ensure data integrity throughout the analysis process.

• Apply data science techniques and libraries to demonstrate data's practical application to business challenges.

• Develop advanced quantitative models using various programs/software to support predictive assessments.

• Provide expertise in analytical, strategic, programmatic, and operational analysis.

• Articulate analytics model behavior and results in business-oriented language.

• Perform technical risk analysis and reliability assessments.

• Conduct diverse advanced analyses, sustainment, optimization, text analytics, machine learning, and parametric/non-parametric statistical models.

• Create, test, validate, and showcase analytical models through relevant error metrics and calibration techniques.

• Offer recommendations for plans, programs, strategies, policies, and budgets.

• Design algorithms that integrate multiple models/methods into ensembles.

• Utilize automation, cognitive, and science-based techniques to manage data, predict scenarios, and provide actionable recommendations.

• Drive operational efficiency by maintaining data ecosystems, leveraging analytics expertise, and delivering As-a-Service offerings for continuous insights and improvements.

• Produce data visualizations, dashboards, and reports to effectively communicate findings and recommendations to both technical and non-technical stakeholders.

• Stay abreast of industry trends, emerging technologies, and best practices in data analysis and data management.

• Contribute to the development and enhancement of data analytics frameworks, tools, and methodologies within the organization.

QUALIFICATIONS

• Bachelor's degree in a quantitative field such as Statistics, Mathematics, Computer Science, Engineering, Accounting, Finance, or a related discipline. Master's degree preferred.

•3 years of relevant experience in data analysis, data mining, or business intelligence.

• Proficiency in Excel, SQL, Python, R, or other programming languages commonly used for data manipulation and analysis.

• Experience working in Salesforce.

• Experience with data visualization tools (e.g., Tableau, Power BI) and strong proficiency in creating visually appealing and insightful dashboards.

• Solid understanding of statistical concepts and techniques, including regression analysis, time series analysis, clustering, and classification.

• Strong problem-solving skills with the ability to think analytically and translate complex data into actionable insights.

• Excellent communication skills, both written and verbal, with the ability to effectively present findings to diverse audiences.

• Detail-oriented mindset, with a focus on accuracy and data quality.

• Ability to work independently as well as collaboratively in a team-oriented environment.

• Excellent organizational and time management skills with the ability to manage multiple initiatives and change focus quickly to meet business needs within a fast-paced environment.

• Strong customer focus and consistently performs with a sense of urgency.

• Authorized to work in the United States.

MENTAL ACTIVITIES AND REQUIREMENTS OF THIS POSITION

REASONING ABILITY: Ability to apply common sense understanding to carry out detailed instructions and to deal with problems involving a few variables.

TECHNOLOGICAL ABILITY: Competent in the use of MS Word and Excel.

PHYSICAL REQUIREMENTS: Prolonged periods sitting at a desk and working on a computer.

Must be able to lift up to 15 pounds at times.

ENVIRONMENTAL CONDITIONS:  N/A

About Loyal Source

Loyal Source is an Orlando-based workforce solutions provider dedicated to delivering elite services worldwide, with a focus in government healthcare, technical and support services, engineering, and travel healthcare. Loyal Source provides exceptional custom solutions to both private enterprise and government agencies. Loyal Source is a military friendly employer and proud partner of the Military Spouse Employment Partnership program.

For more information go to our website and follow us on LinkedIn, Facebook & Twitter for other positions currently open.

Loyal Source does not discriminate in employment based on race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factors.