Job Summary: 

• Decompose complex business problems into constituent parts for analysis – identify, analyze, and interpret trends and patterns in operational data sets
• Drive strategic actionable insights from operational analysis and locate new process improvement opportunities
• Work with operational business partners to understand strategies
• Build the data to support business goals and objectives
• Provide strategic analysis of Service Center operational business trends by performing benchmark studies
• Reviewing ongoing department performance data and offering recommendations for process improvements and strategic alignment to Service Center leadership
• Work and collaborate with other Business Insights Analysts Sr. on the team 
• Solve business opportunities to drive business growth and value
• Assist in the preparation of LT-level analyses and presentations designed 
• Inform, educate, and gain approval for Service Center initiatives

Skills on Resume:

• Problem Decomposition (Hard Skills)
• Insight Generation (Hard Skills)
• Stakeholder Collaboration (Soft Skills)
• Data Infrastructure Building (Hard Skills)
• Benchmark Analysis (Hard Skills)
• Performance Optimization (Hard Skills)
• Team Collaboration (Soft Skills)
• Strategic Problem Solving (Hard Skills)

Job Summary: 

• Develop relevant and consistent practices and procedures for data analytics and reporting
• Support and promote Data Literacy and build awareness on how to interpret the data and analytics 
• Drive decisions across the Servicing Operations Organization
• Participate in the Data Governance program via Data Stewardship for Servicing Operations
• Build and execute confidence in data quality
• Aid in the dissemination of business analysis best practices throughout the Servicing Operations organization
• Assist with ad hoc analytical projects and tasks
• Cleansing the business's current datasets and merging data from various sources
• Creating dashboards and visual insights, and communicating these to suppliers and non-technical audiences
• Helping improve automation within the business

Skills on Resume:

• Analytics Standards Development (Hard Skills)
• Data Literacy Enhancement (Soft Skills)
• Decision-Making Leadership (Soft Skills)
• Data Governance Participation (Hard Skills)
• Data Quality Management (Hard Skills)
• Analysis Best Practices (Soft Skills)
• Project Support (Hard Skills)
• Data Visualization (Hard Skills)

Job Summary: 

• Compilation and organization of various delivery point of sale sources into actionable insights
• Evaluation of initiatives and development of business cases
• Forecasting initiative sales, guest count, unit movement, and cash flow impact
• Assessment of performance of both new and existing initiatives
• Identification and prioritization of opportunities to improve performance
• Effectively framing results of analysis to various partners, including senior leadership and franchisees
• Understanding, describing, and manipulating datasets to answer critical business questions using both quantitative data and qualitative business context to provide actionable insights
• Identifying the root cause of problems with reports and data and working with the right teams to resolve
• Leading the creation of dashboards (contributing yourself as well as working with the BI tools team and the Enterprise Data Warehouse team) to provide analysis and actionable intelligence to business leaders
• Driving the adoption of reports and dashboards created by gathering feedback from users and iterating on the content

Skills on Resume:

• Data Compilation (Hard Skills)
• Initiative Evaluation (Hard Skills)
• Sales Forecasting (Hard Skills)
• Performance Assessment (Hard Skills)
• Opportunity Prioritization (Hard Skills)
• Effective Communication (Soft Skills)
• Problem Solving (Hard Skills)
• Dashboard Development (Hard Skills)

Job Summary: 

• Coordinate with analysts, data scientists, and product partners
• Provide leadership and coaching on analytical techniques and data analysis
• Apply innovative analytical skills to the large, high-priority projects identified across the personal bank to address greatest areas of opportunity
• Provide business expertise to place context around analytics discovery
• Educate business partners and build awareness on how to leverage data & analytics to drive decision-making that will propel the business forward
• Develop analytical solutions to support insight generation that aligns with strategy and drives shareholder value
• Lead large complex analytics projects and identify opportunities
• Further optimize current product suite through self-initiated insights
• Present insights back to executive leaders / business partners to drive strategic improvement and influence decisions and change on all organizational levels
• Build strong relationships with product partners and other key internal and external partners (Enterprise Analytics, Data Governance & Reporting, Marketing, Customer Strategy, etc.)

Skills on Resume:

• Team Coordination (Soft Skills)
• Leadership & Coaching (Soft Skills)
• Innovative Analysis (Hard Skills)
• Business Contextualization (Hard Skills)
• Data-driven Education (Soft Skills)
• Strategic Insight Development (Hard Skills)
• Project Leadership (Soft Skills)
• Product Optimization (Hard Skills)

Job Summary: 

• Leverage syndiacted data sources (e.g. IRI/Kantar/Nielsen) among others to play a prominent and enthusiastic role in raising the bar on Business Intelligence and Analytics agendas and the impact of insight in decision making.
• Deliver best in class market and category understanding through building strong and influential relationships in through business partnering with category and stakeholders. 
• Creating one source of truth around category reporting, understanding and business performance.
• Build agency relationships in order to drive real value from data and spend, whilst driving democratization of data and insight
• Responsible for business reporting & forecasting, advanced analytics and data integration/automation
• Driving true competitive advantage and enhancing ability to win in marketplace.
• Anticipatory in mindset to support bigger, complex questions.
• Confidently make sound recommendations and draw compelling calls to action from analysis of data and research findings.
• Management, accuracy and coding of external agencies especially in the area of syndicated data, and potentially around knowledge management and internal/external panels.
• Works hard to create a culture of joined up insight through best practice sharing and unlocking ways of working with the rest of insights

Skills on Resume:

• Syndicated Data Analysis (Hard Skills)
• Relationship Building (Soft Skills)
• Business Reporting and Forecasting (Hard Skills)
• Agency Management (Hard Skills)
• Advanced Analytics (Hard Skills)
• Competitive Strategy Development (Hard Skills)
• Anticipatory Thinking (Soft Skills)
• Recommendation Articulation (Soft Skills)

Job Summary: 

• Build the metrics and narrative that drive monthly performance reviews with full leadership team
• Define, document, and code the nuances of how we measure metrics over the course of a customer's life cycle (e.g., LTV, churn)
• Automate and own the KPI dashboards that regularly report out on business health
• Consolidate data points from across business units to synthesize the overall story
• Own deep analyses of drivers that surface insights that lead to actions. 
• Investigate the underlying drivers of churns and cancellations
• Deep dive on what's impacting On-Time In-Full metric and how that's affecting LTVs
• Track the customer journey across eCommerce platforms and brick & mortar
• Understand what segment of top customers looks like and diagnose why products work 
• Build requirements for and support the development of the multi-branded codebase (i.e., the data model that sits within the data warehouse)
• Collaboration with analytics engineer and data engineers

Skills on Resume:

• Metrics Development (Hard Skills)
• Lifecycle Measurement (Hard Skills)
• Dashboard Automation (Hard Skills)
• Data Synthesis (Hard Skills)
• Insights Generation (Hard Skills)
• Churn Analysis (Hard Skills)
• Performance Evaluation (Hard Skills)
• Customer Journey Mapping (Hard Skills)

Job Summary: 

• Attend customer meetings and support efforts in delivery of data-driven customer-centric category business plans and insights, for periodic category strategy and annual line review meetings.
• Develop/maintain monthly POS reporting and inventory dashboards for key accounts, including Amazon, Pep Boys and AutoZone
• Provide actionable category insights to internal and external stakeholders.
• Utilize market, internal (and syndicated) data sources to derive insights, and make actionable recommendations to the sales and marketing teams.
• Manage PIO and replacement rate data, create rank reports and gap analysis reports 
• Identify underperforming SKU’s and recommend optimal stocking assortments for retail and traditional customers.
• Work with Marketing on specific market research projects, as it relates to consumer or Installer behavior, replacement rates and prepare summary for customer pitch/presentations.
• Work with Marketing to review, consolidate, and share data analytics insights from ad agency’s Bulb Finder monthly reports and consolidate into a quarterly report. 
• Share findings, insights with marketing team to help address any trends and key insights.
• Identify new opportunities for analytical projects that will add value to organization, will improve the use of data across the organization

Skills on Resume:

• Customer Engagement (Soft Skills)
• Dashboard Management (Hard Skills)
• Insightful Analysis (Hard Skills)
• Data-driven Recommendations (Hard Skills)
• Reporting and Analysis (Hard Skills)
• SKU Performance Assessment (Hard Skills)
• Market Research Coordination (Soft Skills)
• Data Consolidation (Hard Skills)

Job Summary: 

• Create, develop, and own internal reporting and analytical environment
• Collaborate with the internal data engineering team on the design, development and maintenance of data models
• Lead the development and provision of reporting through the deployment of self-service reports and dashboards
• Lead the development and provision of advanced analysis through the use of classical statistical and machine driven techniques
• Maintain thorough knowledge of existing and emerging open source and proprietary reporting and advanced analysis tools
• Challenge analytical thinking within products and guide the team through tactical analytic plans
• Leveraging best practices in data engineering, statistical and machine learning modeling, and insight generation
• Lead cross product analytics initiatives and projects (e.g. R&D programs, Customer Lifetime Value)
• Build understanding of cloud infrastructure and advanced analytics capabilities within Personal Banking
• Providing insights into other processes such as delivery, product selection, and manufacturing

Skills on Resume:

• Reporting Environment Mastery (Hard Skills)
• Data Model Collaboration (Hard Skills)
• Self-Service Analytics Deployment (Hard Skills)
• Advanced Analysis Proficiency (Hard Skills)
• Tools Proficiency (Hard Skills)
• Analytical Thinking Guidance (Soft Skills)
• Best Practices Advocacy (Soft Skills)
• Cross-Product Leadership (Soft Skills)

Job Summary: 

• Develop and foster strong relationships with key stakeholders from international sites, including technology and business leaders
• Collaborate with business partners and technology leaders 
• Identify and prioritize opportunities for improving technical health
• Lead technical health improvement initiatives and enhancements
• Partner closely with the Data Science team to develop and share data-driven communications, standards, and deliverables
• Effectively organize and present data insights, tailoring the format to match the audience
• Create and manage technical health deliverables and documentation
• Helps meet and exceed forecast and market share objectives.
• Provide additional ad hoc data analysis for sales and marketing teams 
• Help to influence others in a cross-functional environment, with a customer-centric and global perspective

Skills on Resume:

• Relationship Building (Soft Skills)
• Collaboration (Soft Skills)
• Opportunity Identification (Hard Skills)
• Project Leadership (Soft Skills)
• Data-driven Communication (Hard Skills)
• Presentation Skills (Soft Skills)
• Documentation Management (Hard Skills)
• Analytical Skills (Hard Skills)

Job Summary: 

• Lead data analyst for planned design, implementation and on-going management of comprehensive business analytics platform across NYI
• Integration of data attributes across the firm's various billing & traffic systems, including Eclipse, Strata/TIM and Salesforce (currently) and with expansion to additional platforms including Sage (billing), Operative and Ad-Juster (among others)
• Design the architecture of the NYI business analytics platform & lead the process of developing next generation impressions pacing tools
• Design & implement daily financial and operational reporting dashboards for executive and sales leadership teams
• Coordinate with accounting and billing teams to streamline and automate monthly financial reporting
• Provide regular support to sales teams (Account Executives, Managers, etc) related to sales reporting, dashboards, trend analytics, etc.
• Map and trace data from various source systems to solve a given business problem
• Analytical problem-solving skills and the ability to break down problems and analyze large data sets
• Advanced experience manipulating data across a variety of systems, formats, and query tools
• Building relationships with key stakeholders across all areas of the business

Skills on Resume:

• Data analysis (Hard Skills)
• Data integration (Hard Skills)
• Platform architecture design (Hard Skills)
• Dashboard development (Hard Skills)
• Financial reporting (Hard Skills)
• Sales support (Soft Skills)
• Problem-solving (Hard Skills)
• Relationship building (Soft Skills)