Position: Business Intelligence Analyst ( W2 ONLY) -- Hybrid Role ---LOCALS ONLY
Work sponsorship is not available for this position. Applicants must be a United States citizen , Green Card holder or EAD Green Card holder at the direction of our client .
NO THIRD PARTIES PLS
THIS IS A DIRECT CLIENT REQUIREMENT !
Those authorized to work without sponsorship are encouraged to apply please.
Reach Saakshi Sahni -
Business Intelligence Analyst
$80/hr W2
Duration:
Ongoing Long Term
Direct Banking Client
Hybrid Role - Vienna, VA (Onsite 3 Days a week // 2 days remote)
Work sponsorship is not available for this position. Applicants must be a United States citizen , Green Card holder or EAD Green Card holder at the direction of our client .
Compensation
$80/HR W2
• This is the targeted compensation range for this role per year. Please note that this range is provided as a guideline and the final offer will be based on several factors, including but not limited to, skillset and competencies, level of experience, education, certifications, and location.
We offer a comprehensive benefits package including medical, dental, vision, and disability insurance; 401(k).
Job Description:
Below are 3 must haves and 3 nice to haves for vendor vetting: BIA (mid & high but high operates with complete autonomy with elevated/polished deliverables) Must have:
Tech stack: SQL, PowerBI (or similar [tableau]) Data storytelling via executive presentations - not just building a dashboard but extrapolating insights from established dashboards to tell a story. Establishing key metrics that drive business impact - what are the right things that we should measure to understand the change. Measuring impact - establishing event date, measuring pre-period and post-period to determine lift/change, and reducing noise by accounting for factors that may impact the trend but are not related to the event being measured.
Stakeholder management - keeping various teams updated on progress and obstacles Nice to haves:
Databricks Agile framework familiarity LLM / AI adobe analytics
Role focus:
Supports Digital BI and analytics through performance measurement of new digital enhancements and stewardship of mobile/online application and employee-facing product experiences.
Role:
Support business decisions within the Digital department by providing quantitative and qualitative data analysis, reporting, and insights that evaluate the performance of new digital enhancements and help steward the overall experience and performance of mobile and online applications, as well as employee-facing experience products. Analyze business problems and issues using business intelligence tools that incorporate data from internal and external sources.
Work independently to interpret and analyze complex business challenges that have a significant impact on the function or branch, providing well-supported recommendations that improve digital experiences and business outcomes.
RESPONSIBILITIES
• Collect, aggregate, and analyze data from multiple internal and external sources, including structured and unstructured data sets, to drive insights into digital performance, member behavior, employee experience, and business outcomes.
• Communicate findings and insights to stakeholders and provide business strategy recommendations for optimizing digital performance, adoption, containment, self-service, and experience outcomes.
• Develop, maintain, and manage advanced reporting, dashboards, scorecards, and BI solutions that monitor the health, adoption, effectiveness, and operational performance of mobile, online, and employee-facing digital products.
• Evaluate new digital enhancements before and after release by defining success measures, establishing baselines, monitoring adoption and performance, and identifying usability, journey, or experience opportunities.
• Identify, analyze, and interpret trends or patterns across digital journeys and prepare ongoing reports and data visualizations, including charts, dashboards, heat maps, funnels, and scorecards, to support business decisions.
• Produce actionable reports that show key performance indicators, identify areas of improvement in current operations, and display root cause analysis of digital performance or experience issues.
• Use analytics and metrics to improve processes and provide data-driven forecasts of potential costs, risks, member impacts, employee impacts, and benefits of new business or digital initiatives.
• Understand data gaps and connect data components across systems to support reliable reporting, visualization, and digital product performance…