OCT Consulting LLC is an SBA-certified, 8(a) small disadvantaged business that provides commercial and federal government clients with skilled professional services. The company’
Data Visualization Analyst
Location
Maryland
Posted
6 days ago
Salary
$90K - $100K / year
Seniority
Senior
Job Description
Data Visualization Analyst
OCT Consulting
• Develop dashboards, user interfaces, and reports in compliance with Section 508 accessibility standards. • Design, test, and deploy interactive reports using Tableau, Power BI, R, Python, and other approved tools. • Create custom calculations and apply filters for dynamic reporting. • Design and maintain SharePoint custom solutions supporting communication and tracking. • Assess and address data management issues and provide recommendations. • Maintain quality control and compliance with dissemination, visualization, and security governance. • Develop visual analytics for survey data and registration systems using approved tools. • Gather, preprocess, and normalize data for visualization. • Choose visualization types appropriate to data and objectives. • Implement visualizations with programming languages or visualization libraries (R, D3, Python). • Add interactive features to visualizations where required. • Test and validate visualizations to ensure accuracy and usability. • Optimize performance when working with large datasets. • Participate in planning and stage-gate reviews under current policies and lifecycle standards. • Provide feedback on data reuse and perform cleansing to remove duplicates. • Give presentations to stakeholders on development activities. • Deliver program documentation with purpose, programming steps, outputs, and accuracy assessments. • Submit program code to the Technical Monitor with internal comments and documentation.
Job Requirements
- Must be a U.S. Citizen.
- Bachelor’s degree in Data Science, Statistics, Computer Science, Information Systems, or a related field (or equivalent experience).
- Minimum 3 years of experience in data visualization and analytics.
- Proficiency in data visualization and analytics tools including Tableau, Power BI, R, Python, and D3.
- Experience with data modeling, database schema design, and database administration.
- Experience with web and content management systems (WCMS), including WCMS and Adobe Analytics.
- Experience gathering, preprocessing, and normalizing data for visualization from large datasets.
- Demonstrated capability in data analytics, data science, and data management.
- Knowledge of Section 508 accessibility standards and compliance for data dissemination products.
- Experience working with federal government survey data and registration systems preferred.
- Knowledge of federal IT compliance requirements including NIST, FISMA, and Section 508.
- Certifications preferred: Tableau Desktop Specialist, Microsoft Certified: Data Analyst Associate, or equivalent.
- Clearance: Sensitive / Moderate Risk Position – Tier 2 / Public Trust Level 5 or higher required. The investigation will involve a credit, fingerprint, and law enforcement agency check. HSPD-12/PIV card required.
Benefits
- Medical, Dental, and Vision insurance
- Retirement savings 401K plan provided by an industry leading provider with 3% employer contributions of the employee’s gross salary
- Paid Time Off and Standard Government Holidays
- Life Insurance, Short- and Long-Term disability benefits
- Training Benefits
Related Guides
Related Categories
Related Job Pages
More Data Analyst Jobs
Senior Data Analyst, Specialty Care
Spring HealthPrecise. Personal. Proven. The most comprehensive mental health care for teams and families everywhere.
• Partner with the Specialty Care Operations team to define, refine, and evolve key metrics and KPIs as the program scales across new conditions and services. • Build and maintain dashboards and data visualizations in business intelligence tools (ex: Looker, Hex, Omni) that empower non-technical users to monitor member engagement, clinical outcomes, and operational efficiency. • Conduct exploratory and ad-hoc analyses to answer emerging business questions, such as evaluating early engagement in new services or understanding potential impacts of platform changes. • Identify trends and gaps in program performance and recommend opportunities for improvement based on data-driven insights. • Support data integrity efforts by contributing to dbt models and ensuring consistent, scalable data structures across Specialty Care programs. • Partner with data, product, and engineering teams to ensure the Specialty Care team has access to the necessary data sources for comprehensive reporting. • Serve as a data advisor and thought partner for Specialty Care leadership, proactively shaping how success is measured and informing future strategic initiatives. • Partner with the data science team to dive deeper into major trends, helping us understand what is driving those changes. • Ensure downstream teams can access and utilize data effectively by providing training, documentation and support for the dashboards and data products you deliver. • Ensure accurate and consistent reporting of metrics, collaborating with cross-functional stakeholders to ensure data alignment across the business. • Work with our analytics engineering team to maintain the core data models in dbt that support these metrics and ensure data consistency.
Media Analytics Manager – Measurement & Attribution
InstacartInstacart invites the world to share love through food. This is how homemade is made.
• Design and execute advanced experiments that prove advertising value and optimize campaigns, delivering actionable insights that drive business decisions • Analyze experiment data to produce nuanced recommendations for improving ad performance and measurement outcomes • Tailor measurement approaches to meet stakeholder needs, by developing innovative metrics and data visualizations that reveal deeper business insights • Proactively partner with stakeholders to shape media measurement strategies and address complex challenges, navigating through ambiguous measurement questions • Present experimental findings and other data-driven insights with an executive presence to senior clients, educating them on methodologies and ensuring alignment on actionable insights • Lead discussions, trainings, and Q&A sessions as a thought leader on ad measurement and experimentation to inspire confidence in measurement outcomes with clients and internal teams • Identify strategic opportunities, including client upsell potential or internal operational improvement needs, informed by data-driven insights • Develop customized analytical solutions, including code, dashboards, and self-service tools with data-driven enhancements either through client works and/or project initiatives
• Build and maintain data quality dashboards tracking freshness, completeness, validity, and consistency of client data • Write SQL queries to investigate data issues, produce reports, and support ad hoc analytical requests • Map regulatory requirements to data fields and monitor compliance through ongoing analytics • Set up and maintain alerts for data quality degradation and outdated client records • Analyze data flows between the mobile app and back-office systems to identify gaps and inconsistencies • Collaborate with product, engineering, operations, and compliance teams on data-related decisions
• Track and analyze delivery, open, and engagement rates across various communication channels • Monitor and report on communication costs; identify optimization opportunities • Develop and maintain frequency capping rules to prevent customer over-communication • Build a self-service tool enabling product teams to set up and manage communication campaigns independently • Support product teams with communication configuration until self-service tooling is in place



