Job Summary:

• Support the Strategic Planning and Analytics VP to lead the transformation towards becoming a data-driven company
• Set a vision for how data will support business goals
• Define data architecture and platforms along with the IT department
• Define a high performing data and analytics operational model
• Design a collaborative analytics structure considering both centralized organization and roles embedded into the business units
• Build data capability and integrate data into the business in a cross-functional way
• Design and implement a cross functional Dashboard for data visualization that supports decision making
• Be the SEM point of contact with the client's and Planning teams
• Execution of changes that drive growth
• Ownership of SEM, managing the best practices, and optimization tactics
• Motivational leader of a team of direct reports
• Lead the vision for the client's growth

Skills on Resume: 

• Data Strategy Development (Hard Skills)
• Data Architecture and Platform Knowledge (Hard Skills)
• Operational Model Design (Hard Skills)
• Organizational Design (Hard Skills)
• Cross-Functional Integration (Hard Skills)
• Data Visualization and Dashboard Design (Hard Skills)
• Stakeholder Management (Soft Skills)
• Change Management and Execution (Soft Skills)

Job Summary:

• Support the leadership of the Analytics team
• Develop a deep understanding of marketing plans and their objectives to help build comprehensive learning agendas and measurement plans
• Partner with clients to identify objectives and inform design thinking for marketing measurement plans
• Understanding of data signals to inform business decision-making and become an invaluable problem-solving partner for clients
• Be a hands-on contributor in evolving and designing new, innovative measurement tools, from inception to delivery, through to global rollout
• Support members of the team in the delivery of their responsibilities, ensuring quality and that deadlines are met
• Recruit, manage, and mentor resource ensuring workflow is efficient throughout the team, as well as a high-quality output is delivered
• Oversee refinement and evolution of work delivery, processes, and communication of actionable insights 
• A curious person with a natural inclination for learning and personal growth
• Managing teams of four to eight analysts
• Presenting data in a visually engaging and insightful manner that cuts through the noise
• Working in an agency-styled environment

Skills on Resume: 

• Analytics Team Support (Soft Skills)
• Marketing Strategy Understanding (Hard Skills)
• Client Partnership (Soft Skills)
• Data Analysis (Hard Skills)
• Tool Development (Hard Skills)
• Project Management (Hard Skills)
• Leadership and Mentorship (Soft Skills)
• Process Improvement (Hard Skills)
• Curiosity and Learning Orientation (Soft Skills)
• Team Management (Soft Skills)
• Data Visualization (Hard Skills)
• Adaptability to Agency Environment (Soft Skills)

Job Summary:

• Scope, manage, and deliver insights and strategies through social impact engagements.
• Strategize with the team to research, conduct data analysis, and tell the story that leads to change in behavior
• Research, visit, and interview individuals and collect information from school districts, colleges, nonprofit organizations, agencies, and/or providers serving children
• Prepare high-impact charts, data visualizations, PowerPoint presentations, and memos to communicate key findings to school districts, community organizations, public agencies, and investors
• Develop and present content for partners at school districts for more informed decision making to change behavior and resourcing to support more students
• Provide strategy and analytics support to Commit’s Chief Executive Officer, President, and partner-facing teams. 
• Develop analytical tools to support partner programs and conduct specific analyses to support strategies on key education priorities. 
• Engage in new, complex challenges with team and community members
• Work extensively in Excel, PowerPoint, Tableau, and Alteryx, and potentially in R or SQL if desired
• Assist in being a culture carrier and in the overall management and development of the 13 person Analytics team
• Serve as a team and organization strategy thought partner and lead a significant aspect of team goals

Skills on Resume: 

• Project Management (Hard Skills)
• Data Analysis (Hard Skills)
• Research Methodology (Hard Skills)
• Data Visualization (Hard Skills)
• Presentation Skills (Soft Skills)
• Strategic Thinking (Soft Skills)
• Analytical Tool Development (Hard Skills)
• Problem-Solving (Soft Skills)

Job Summary:

• Lead ongoing analysis of business performance to support daily operations
• Design and interpret key performance metrics. 
• Deliver insights and recommendations
• Assist in developing and delivering presentations for senior executives
• Support strategic initiatives including fixing weak businesses and investing in emerging markets
• Assist in troubleshooting operational issues as they surface; propose changes to systems/ processes to fix root causes
• Prepare analysis and recommendations for strategic decision making
• Drive definition of Key Performance Indicators impacting engineering experience and success and then build systems to track and report on these KPIs
• Build a culture of data analytics as a basis for continual improvement within both ISandT and the engineering teams which depend upon it
• Collaborate with ISandT, Computer Aided Design (CAD), Hardware Lab, and Silicon Engineering to present findings from the data and drive systematic and behavioral changes over time to improve ISandT systems performance and engineering resource utilization
• Build the systems necessary to report and track systems utilization, support performance, and other ISandT related KPIs
• Build a dynamic and creative team to meet these responsibilities

Skills on Resume: 

• Data Analysis (Hard Skills)
• Performance Metrics Design and Interpretation (Hard Skills)
• Communication Skills (Soft Skills)
• Strategic Thinking (Soft Skills)
• Problem-Solving (Soft Skills)
• Process Improvement (Hard Skills)
• Key Performance Indicator (KPI) Development (Hard Skills)
• Leadership and Team Building (Soft Skills)

Job Summary:

• Overseeing the collection, cleansing, and preparation of large amounts of 1st and 3rd party customer data in SQL
• Leading the development of advanced statistical, predictive and Machine Learning models in Python and/or R
• Serving as Advanced Analytics SME; delivering actionable, data-driven insights to executive leadership
• Building a robust, multi-faceted analytics team from scratch; contributing to the development of junior analysts
• Own and lead Retail Measurement analytics and insights for a set of countries and/ or industries across a regional cluster
• Coach and train insights associates to build their analytical development
• Providing performance overview analysis and business issue analysis to Consumer Packaged Goods clients around Asia
• Coach and lead team managers to drive their associates to deliver high quality performance. 
• Responsible for planning and identifying team workforce allocation.
• Work closely with the Consulting Lead and Customer Service to transform customer experience
• Own KPIs for transformation and drive continuous improvement on strategic initiatives

Skills on Resume: 

• SQL Data Management (Hard Skills)
• Statistical Analysis (Hard Skills)
• Predictive Modeling (Hard Skills)
• Machine Learning (Hard Skills)
• Advanced Analytics (Hard Skills)
• Leadership and Management (Soft Skills)
• Coaching and Training (Soft Skills)
• Strategic Planning (Soft Skills)

Job Summary:

• Create short and long-term strategic direction for all aspects of Customer Solutions analytics and data management needs
• Prioritize and develop roadmap for all analytics needs and outcomes supporting Customer Solutions initiatives
• Identify new opportunities to drive optimization and efficiency across all aspects of Expert operations throughout all channels and clients
• Identify tools and platform needs required to perform data analytics effectively
• Lead regular business reviews with senior Customer Solutions leaders
• Collaborate closely with cross functional teams across Customer Solutions, Product, Marketing, Client Solutions, and Supply Chain operations
• Partner with IT to execute on the technology roadmap that supports the analytics needs of Customer Solutions
• Work with Finance to ensure KPIs are accurately calculated and tracked to support business operations
• Work with data science team to improve predictive analytics capabilities 
• Support deployment of advanced ML solutions to drive further automation and optimization

Skills on Resume: 

• Strategic Planning (Soft Skills)
• Roadmapping (Soft Skills)
• Optimization Strategy (Hard Skills)
• Data Analytics Tool Selection (Hard Skills)
• Stakeholder Management (Soft Skills)
• Cross-Functional Collaboration (Soft Skills)
• IT Partnership (Soft Skills)
• Financial Analysis (Hard Skills)

Job Summary:

• Creating analytics strategies for the business alongside the C-Suite
• Be commercially focused, take a lead on solving business problems and find solutions to the most difficult challenges globally
• Be hands-on with Data Science and analytics techniques and manage a team of high performing Data Scientists
• Develop new analytics
• Facilitate and build an analytics Community of Practice across ReadyRefresh
• Responsible for driving the development and implementation of banking book modelling across all banking books with particular focus on consistency of models across the business and legal entities
• Responsible for identifying and utilising synergies across data and model flows promoting efficiency of risks, model implementation and controls
• Responsible for interacting with internal and external stakeholders within (e.g. regulators and industry groups)
• Act as deputy for the Risk in the banking book lead developer within Risk Methodology
• Act as advisor for Asset and liability management / banking book methodology and modelling framework to Risk and Treasury functions and Remediation and prevention of internal and external findings

Skills on Resume: 

• Strategic Planning (Soft Skills)
• Commercial Acumen (Soft Skills)
• Problem-Solving (Soft Skills)
• Data Science (Hard Skills)
• Team Management (Soft Skills)
• Community Building (Soft Skills)
• Financial Modelling (Hard Skills)
• Stakeholder Management (Soft Skills)

Job Summary:

• Provide oversight and management of the teams responsible for monitoring and optimizing the performance of individual clinical trials in SubjectWell’s marketplace.
• Review and determine appropriate data analytics and metrics for the delivery of referrals of patients to sites running clinical trials.
• Build and optimize analytical frameworks to continuously test improvements, both for individual trials and for the entire marketplace.
• Monitor trial-level performance of internal screeners, patient interest, and performance of referrals at sites. 
• Assess gaps and take appropriate corrective actions.
• Work closely with other departments to develop the tools and processes necessary to gather required data and to share results and learnings.
• Manage and develop staff and direct reports.
• Develop, monitor and continuously improve overall systems, processes & procedures.

Skills on Resume: 

• Team Management (Soft Skills)
• Data Analytics (Hard Skills)
• Performance Monitoring (Hard Skills)
• Problem-Solving (Soft Skills)
• Collaboration (Soft Skills)
• Process Improvement (Hard Skills)
• Leadership (Soft Skills)
• Systems Development (Hard Skills)

Job Summary:

• Build a high performance, responsive team of Data Analysts that are able to gather, synthesize, and distribute data quickly and accurately
• Oversee the continued development of in-house media mix modeling, attribution modeling, and other tools that can help understand and predict the impact of various marketing campaigns/strategies, with the ability to slice this data across channel, geography, cohort, and various other user properties
• Support marketing in segmentation strategy for acquisition and retention
• Support data-informed decision making throughout the broader company
• Systemize the use of 3rd party data for use in analysis and marketing automation
• Collaborate with Digital Product, Engineering, Growth, Retention, and Merchandising on various eCommerce and Marketing A/B testing initiatives
• Collaborate with Digital Product and Engineering on driving and delivering an eCommerce personalization strategy
• Drive growth by providing timely analysis, predictive analytics, and interactive dashboards and tools to business partners, with a focus on the ability to self-serve
• Develop, maintain, and socialize the team’s roadmap, ensuring we’re planning for future needs while meeting the operational needs of the business today.
• Define and implement a data literacy and data enablement program, which encourages other teams to better leverage data and analytics
• Develop compelling presentations and documents based on findings

Skills on Resume: 

• Team Leadership (Soft Skills)
• Data Analysis (Hard Skills)
• Marketing Analytics (Hard Skills)
• Segmentation Strategy (Hard Skills)
• Data Management (Hard Skills)
• Cross-Functional Collaboration (Soft Skills)
• eCommerce Strategy (Hard Skills)
• Predictive Analytics (Hard Skills)

Job Summary:

• Help improve visibility on business performance and trends as the complexity increases with expanding to different business areas and moving to a subscription business model.
• Facilitate coordination across analytics resources in different functions, ensuring consistency in metrics used to properly track the business and collaboration on cross-functional analytic initiatives.
• Develop methodologies and models that help better project business trajectory and improve predictability of future performance.
• Drive discovery of actionable insights buried in data as the foundation for action planning.
• Establish a framework of key business metrics and dashboards for real-time tracking of business performance and drive consistent adoption of the framework across the company.
• Develop an understanding of drivers of performance and build models to improve predictability.
• Collaborate with data engineers to ensure data quality, building a single source of truth and a common language from disparate data sets across multiple systems.
• Develop an analytics roadmap at corporate level, collecting and prioritizing business requirements from eStaff, in particular CEO and CFO.
• Lead the analytics quad composed of the analytics team across all functions to achieve the key objectives

Skills on Resume: 

• Business Performance Analysis (Hard Skills)
• Coordination and Collaboration (Soft Skills)
• Methodology Development (Hard Skills)
• Insights Generation (Hard Skills)
• Dashboard Development (Hard Skills)
• Predictive Modeling (Hard Skills)
• Data Quality Management (Hard Skills)
• Strategic Planning (Soft Skills)

Job Summary:

• Own and manage the identification, sourcing, integration, and transformation of new, external and existing data sets across the enterprise.
• Will collaborate with business and key technical functions to design and develop analytics, architect data schema,
• Develop actionable insights capabilities; ensure all activity supports achievement of the long-term corporate strategic plan and plan of record.
• Develop a roadmap that moves the organization from novice to advanced, in the areas of solving business problems and driving growth through insights and analytics.
• Establish a Data Governance Council with participants from across the company to review definitions of Key Business Terms/Metrics and capture stakeholder comments.
• Provide technical and business guidance to the data engineers, data scientists and other advanced analytics resources on solution design, development, delivery, and maintenance.
• Provide sophisticated analysis: Sales Sweet Spot Analysis, Sales Rep Productivity, Market Sizing, MQL creation
• Conversion, Campaign effectiveness, ROI, Price Point Optimization, Customer Profitability Analysis, Product Synergies, Marketing Attribution, Sales Funnel Progression, Sales Channel effectiveness, etc.
• Maintain a fluent understanding of advancements in technology and innovations including cognitive technology, artificial intelligence, ML, and Business Intelligence.
• Host regular meetings with senior level (C-suite, SVP, VP, etc.) to review reports, track insights, gain acceptance on new approaches, demand prioritization and procedure approval on enterprise Data/Metrics definition

Skills on Resume: 

• Data Management (Hard Skills)
• Analytics Solution Design (Hard Skills)
• Strategic Planning (Soft Skills)
• Roadmapping (Soft Skills)
• Data Governance (Soft Skills)
• Technical Leadership (Hard Skills)
• Advanced Analytics (Hard Skills)
• Technology Awareness (Soft Skills)

Job Summary:

• Drive the delivery of data products to customers.
• Enable the above delivery of data products to customers through new or existing data pipeline automation on Cloud Native or Cloud deployed technologies.
• Become the internal and external expert on COTA's data model
• Confidently representing data capabilities to other teams as well as external partners.
• Understand and improve incoming data feeds and pipelines using technologies such as Nextgen Connect
• Help improve data pipeline accuracy by using data science and/or machine learning techniques.
• Suggest, implement, and manage priorities for improvements to COTA's data model based on business needs and client feedback.
• Synthesize domain knowledge in the Oncology space with data science and analytics programming skills into actionable insights from the data. 
• Independently present and discuss these insights with senior leaders across the organization.
• Represent the Analytics team in partnering with the operations, engineering, and clinical teams to define analytic requirements, enhance data quality.
• Examine analytical results for robustness, validity, and out of sample stability and present findings to various stakeholders across the organization

Skills on Resume: 

• Data Product Delivery (Hard Skills)
• Data Pipeline Automation (Hard Skills)
• Data Modeling (Hard Skills)
• Communication (Soft Skills)
• Data Pipeline Improvement (Hard Skills)
• Data Science and Machine Learning (Hard Skills)
• Prioritization Management (Soft Skills)
• Domain Knowledge Integration (Hard Skills)
• Presentation Skills (Soft Skills)
• Cross-Functional Collaboration (Soft Skills)
• Analytical Review (Hard Skills)

Job Summary:

• Lead Consumer Insights, Acquisition, Conversion and Loyalty teams to unify consumer view, data and digital activation;
• Sponsor hives for high priority projects as CX and brand measurement;
• Master fisrt party data, growing and enriching data to drive revenue through CRM;
• Contribute to seamless execution of brand expressions in-market, across all channels
• Consolidate brand stories through linearity and consistency of media with data-driven optimization
• Influence the acceleration of consumer centric innovation, enabled by CX 6-Step process and secure product innovations centered on consumer needs
• Unifiy and enrich CRM client base activation to fuel revenue generation from  user base
• Fully map and measure CX and use CStaR a a feedback loop to the organization. 
• Establish relationship between metrics and business outcomes
• Boost best practice research techniques and analytics to develop a deep understanding of consumers, categories, markets and brand positioning across LA.

Skills on Resume: 

• Leadership (Soft Skills)
• Consumer Insights (Hard Skills)
• Data Management (Hard Skills)
• Customer Relationship Management (CRM) (Hard Skills)
• Brand Management (Hard Skills)
• Innovation Strategy (Soft Skills)
• Customer Experience (CX) Management (Hard Skills)
• Research and Analytics (Hard Skills)

Job Summary:

• Lead internal and external resources to deliver commercial mix and other analytic models, simulations and optimization scenarios, to provide guidance for budget and execution optimization international product portfolio
• Collaborate with brand and cross-functional business teams to formulate strategic and tactical investment recommendations, identify multi-channel mix optimization opportunities, measure and improve promotional and media campaigns
• Design, develop, and execute data and analytic processes to measure effectiveness, efficiency, and ROI across promotional channels and tactics, including Sales Force Detailing, Peer-to-Peer programs, HCP professional events, Direct-to-Consumer initiatives across digital and other media, Point-of-Care channels as well as various Loyalty campaigns
• Collaborate with Professional and Consumer Marketing, Sales Planning and Analytics, and Loyalty and Personalization teams to develop and implement next generation integrated and dynamic investment optimization capability to enable real-time optimization of consumer and customer experiences in multi-channel environment
• Manage high-performance teams in implementing solutions.
• Bring hands on experience in analysis and applications of data from a wide variety of complex, high-volume structured and unstructured databases, 3rd party providers and publicly available data.
• Understand how predictive models, machine learning and artificial intelligence algorithms are used to develop data driven insight and identify strategies for improving it.
• Leverage knowledge of technology to develop tactical tools and solutions to support business strategy execution.
• Present technical approach, implementation approach and findings to a non-technical audience.

Skills on Resume: 

• Leadership (Soft Skills)
• Analytical Modeling (Hard Skills)
• Strategic Planning (Soft Skills)
• Collaboration (Soft Skills)
• Data Analysis (Hard Skills)
• Team Management (Soft Skills)
• Predictive Modeling and Machine Learning (Hard Skills)
• Technology Utilization (Hard Skills)

Job Summary:

• Join Digital practice at a time of significant growth and development. 
• Help to grow and evolve Data and Analytics offering in a number of core sectors with a particular focus on growing customers, revenue and profitability. 
• Supporting clients to tackle some of their most complex business problems using data, analytics and technology. 
• Take an integral role in identifying, shaping and cultivating new opportunities to work with clients, much of the time in close partnership with other areas of the firm.
• Use of data and analytics to solve business challenges, comfortable working with senior executives and investors, and enjoy leading other colleagues to help define the business objectives. 
• Helping some of the world’s best known companies leverage data to realise their business objectives, working with private equity investors to evolve their company portfolios, and supporting high-profile turnaround cases.
• Identify and cultivate new consulting opportunities.
• Lead analytics solutioning and delivery teams in coordination with other teams within the firm.
• Help formulate hypotheses of potential issues and reasons for financial performance.
• Develop data-driven and analytical approaches for improving company performance.
• Present findings, key insights and proposed solutions to client senior management.

Skills on Resume: 

• Business Development (Soft Skills)
• Sector Expertise (Hard Skills)
• Problem-Solving (Soft Skills)
• Client Relationship Management (Soft Skills)
• Strategic Thinking (Soft Skills)
• Leadership (Soft Skills)
• Analytical Solutioning (Hard Skills)
• Presentation Skills (Soft Skills)

Job Summary:

• Work with senior clients and internal stakeholders (Account, Strategy, and Media teams) to ask more meaningful questions about the briefs
• Design tests and plans that answer these questions and present opportunities that impact the client’s business beyond just media or remit in general
• Help agency and client business leadership establish, then measure and regularly report on actionable Key Performance Indicators. 
• Collaborate and development of KPIs that impact business performance, measurement and interpretation of said results. 
• Present findings and to collaborate with teams to interpret actionable learnings is crucial.
• Lead the development and maintenance of centralized analytics dashboards
• Surface meaningful insights and work with the media team to determine implications
• Effectively synthesize data across top of funnel media, lower funnel media, online and offline behavior to drive greater effectiveness
• Work with ad ops and platforms team to facilitate proper data collection – defined through rigorous naming conventions etc.
• Introduce opportunities for deeper analysis (correlation analyses, causal effect studies, regression, cluster analyses)
• Drive adoption of more holistic analytics (media mix modeling, MTA, incorporation of business-level data)
• Understand user journeys, touchpoints, and their contribution to the business
• Leverage client’s tech stacks (DMP’s, CDP’s, CRM) to facilitate more sophisticated segmentation, learnings, etc.
• Explore and introduce new technology platforms and be a thought leader on upcoming digital trends (e.g. cookies going away)
• Inspire even the coolest creative cat in the agency to love data as 
• Continue to merchandise analytics as an under-current that works throughout

Skills on Resume: 

• Client Consultation (Soft Skills)
• Strategic Planning (Soft Skills)
• Key Performance Indicator (KPI) Development (Hard Skills)
• Data Interpretation (Hard Skills)
• Dashboard Development (Hard Skills)
• Insights Generation (Hard Skills)
• Data Collection Management (Hard Skills)
• Advanced Analytics Techniques (Hard Skills)

Job Summary:

• Responsible for leading all aspects of the analytics function including client delivery, new business support and product development
• Help develop insights and recommendations that deliver research solutions that meet or exceed clients’ goals
• Work closely with Client Success Teams to understand clients’ research initiatives and opportunities for improvement/upsell 
• Effectively communicate the importance of a customer-centric view to internal and external clients 
• Successfully communicate complex ideas to internal and external clients 
• Work closely with the Sales organization to sell in and support new business
• Discover actionable insights buried in data and provide the executive team and key decision-makers with real-time visibility into the performance of the overall business and key metrics by building and maintaining insightful dashboards.
• Partner closely with business leadership (e.g., Product, Marketing, Sales, Finance, etc.) and the team of data engineers to build a culture of data-driven decision making by setting frameworks for metrics, experimentation, and forecasting.
• Collaborate with data engineers, sales and marketing operations teams to ensure data quality and maintain the single source of truth by organizing disparate data sets across multiple systems.
• Build and coach a world-class Analytics team that can centralize all the data and analytics needs across all teams across the organization.
• Build and maintain a framework of product engagement metrics, to better understand how customers use Productboard.

Skills on Resume: 

• Leadership (Soft Skills)
• Research and Analytics (Hard Skills)
• Client Relationship Management (Soft Skills)
• Customer-Centric Communication (Soft Skills)
• Effective Communication (Soft Skills)
• Sales Support (Soft Skills)
• Dashboard Development (Hard Skills)
• Data-driven Decision Making (Soft Skills)
• Cross-functional Collaboration (Soft Skills)
• Team Building and Coaching (Soft Skills)
• Data Quality Management (Hard Skills)
• Metric Framework Development (Hard Skills)

Job Summary:

• Develop business partnerships, enable access to their data, help educate, and turn insights into action.
• Build and manage a high performing team over time. 
• Detailed work to develop strategies and get data working for us.
• Situate the Analytics Team as a strategic partner that can provide data-driven insights to guide strategy.
• Own the prioritization of projects, communicate those priorities to business partners, and create a roadmap of when and how to get things done.
• Guide the development of the Retail strategy using insights to shape elements of prospecting and retention strategies and advise on investment and media mix, getting into the details of how we structure UTMs. 
• Direct mail and emails will be extremely important and be one of  initial focus areas.
• Develop a Product Life Cycle process in which data and insights is easily accessible and shared across Product Development, Testing, Manufacturing, Customer, Customer Service, and Quality groups.
• Introduce solutions to better understand customer and the customer journey, including multi touch attribution, media mix modeling, customer identification, and more.
• Develop a B2B customer funnel supported by new KPIs and metrics, and help drive the system change required to capture data needed to better understand the process.
• Improve test and learn culture to enable successful personalization initiatives across marketing and eCommerce.
• Work with the Data Team to communicate suggestions for continuous improvements in data quality and management.
• Perform additional responsibilities as requested to achieve business objectives.

Skills on Resume: 

• Business Partnership Development (Soft Skills)
• Team Management (Soft Skills)
• Strategic Planning (Soft Skills)
• Data-driven Decision Making (Soft Skills)
• Project Prioritization (Soft Skills)
• Retail Strategy Development (Hard Skills)
• Product Lifecycle Management (Soft Skills)
• Customer Journey Analysis (Hard Skills)
• B2B Customer Funnel Development (Hard Skills)
• Test and Learn Culture Improvement (Soft Skills)
• Data Quality Improvement (Hard Skills)
• Adaptability (Soft Skills)

Job Summary:

• Measure the impact of all product features/tests and analyze user behavior that will influence product development and strategy
• Lead a growing Product Analytics team (currently 12) and manage and mentor Analytics Managers
• Partner with Product leadership (CPO and VPs) to formulate Product Analytics roadmap and prioritization, effectively manage stakeholder expectations and influence decision making through data insights
• Own Experimentation and Instrumentation for the company. 
• Work closely with the Product and Engineering organizations during all points of a feature's life cycle: event instrumentation, A/B testing and performance analysis
• Lead on developing and expanding best practices in areas such as structuring analyses, dashboard design and data visualizations to communicate meaningful metrics to different audiences within the business
• Develop a thorough understanding of user behavior using large clickstream event data (from web, iOS and Android apps) and explore data to find actionable insights and make product recommendations through funnel analyses, long-term trends, user segmentation and models
• Find opportunities for improvement across the business and assist in decision-making across teams
• Partner with leadership team and other collaborators to deeply understand and prioritize questions and problems-to-solve across the business, then provide high-quality data, insights and experimentation support to drive goal attainment and strategy.
• Evolve data platform using modern ELT workflow tools: Modeling, clearly defining, and creating access to source-of-truth data in a way that allows end users to answer many of their own questions -- which is a major lever for  analytically-minded team -- and positions us well to apply advanced analytics (e.g., data science / ML) to develop additional insights. 
• Rolling out Looker as the source-of-truth for dozens of employees, as well as some of  external customers.
• Communicate vision, roadmap, prioritization decisions, and insights to the full Great Jones team.
• Work with  Product and Engineering teams to deliver value to existing and prospective customers through data products that leverage  team's work and insights.
• Over time, build and manage an A+ team (currently one BI Manager working closely with two data engineers). 

Skills on Resume: 

• Product Analytics (Hard Skills)
• Team Leadership (Soft Skills)
• Stakeholder Management (Soft Skills)
• Experimentation Management (Hard Skills)
• Product Development Collaboration (Soft Skills)
• Best Practice Development (Soft Skills)
• Data Interpretation and Analysis (Hard Skills)
• Decision Support (Soft Skills)

Job Summary:

• Demonstrate ability to influence change, define standards and apply software engineering best practices to cleans and transform data to enable data science and BI insights.
• Collaborate with Engineers, Business Analysts, Data Modelers, SMEs, and Data governance liaisons to achieve a solid understanding of metadata and data quality requirements and then deliver data fit for purpose to enable Business Intelligence insights.
• Support the delivery of self-serve analytics by translating information for use in natural language search-based tool sets.
• Explore and analyze large datasets, understand underlying data relationships, assess data quality, optimize table structures, identify data gaps / optimization opportunities.
• Establish and oversee SQL change management procedures.
• Develop strategies, policies, processes, and best practices.
• Manage and mentor a team of engineers to support scrum/agile delivery.
• Embrace the opportunity to learn about the captivating intricacies and unique challenges of an internet-scale dual-sided marketplace.
• Collaborate directly with leaders to bring insight into each business area and identify high impact projects.
• Own the analytical strategies and execution that power much of platform’s foundation.
• Mentor and build a team of hardworking business analysts. 
• Provide oversight and analytical thought leadership to ensure that outcomes are robust, measurable, reliable, and repeatable.
• Engage with product and engineering teams to improve data infrastructure to enable effective use by analysts and the rest of the company.

Skills on Resume: 

• Change Management (Soft Skills)
• Software Engineering Best Practices (Hard Skills)
• Data Cleansing and Transformation (Hard Skills)
• Collaboration (Soft Skills)
• Data Quality Management (Hard Skills)
• Self-Service Analytics (Soft Skills)
• Data Analysis (Hard Skills)
• SQL Change Management (Hard Skills)

Job Summary:

• Creating and nurturing effective working relationships with key executives across the company
• Ensuring team is constantly pushing for more effective solutions to problems leveraging the right tools and automation for the job
• Mentoring leadership team to produce the next generation of leaders for the broader organization
• Recruiting, training, and retaining the best talent to support the organization’ s mission.
• Leveraging technology and critical thinking skills to continually drive innovation and automation into  existing methodologies, processes and reporting.
• Partnering with Engineering leadership to operationalize / scale data solutions to improve the company’ s business intelligence and analytical platforms, such as querying, reporting and analytical tools
• Playing an active role in organization’ s leadership team, taking initiative to execute on  mission, prioritize work, make tradeoffs, manage conflicts and constantly push the team to grow and evolve.
• Developing analytics and reporting solutions, from discovery and requirements to development and production.
• Have experience with modern tools, rapid prototyping and deployment of data solutions within an enterprise
• Research and evaluate emerging technologies. 
• Stay current on published state-of-the-art algorithms and models. 
• Be well versed in model risk and governance. 
• Know how to decide which new technologies are truly disruptive and worth pursuing vs those that are just incrementally better
• Analyze customer needs, engage in problem solving and develop data products that the business can seamlessly deploy.
• Challenge conventional thinking and traditional ways of operating and work with stakeholders 

Skills on Resume: 

• Relationship Building (Soft Skills)
• Problem-Solving (Soft Skills)
• Leadership Development (Soft Skills)
• Talent Management (Soft Skills)
• Innovation Management (Soft Skills)
• Collaboration with Engineering (Soft Skills)
• Strategic Leadership (Soft Skills)
• Analytics and Reporting Development (Hard Skills)

Job Summary:

• Establish a vision and then develop and organize analytics capabilities and roadmap, including Marketing analytics, Sales analytics, forecast modeling and FPandA.
• Help the company find the best balance of centralization and decentralization for resources and then adjust as we grow.
• Generate new insights across departments.
• Efficiently leverage technology and tools to spread training and capabilities across the entire company. 
• Create a company full of citizen data scientists empowered with self-service tools.
• Ensure ongoing data stability and trust in numbers.
• Bring enhanced rigor to product development process and associated resource allocation.
• Manage current team members and plan and execute team expansion 
• Analyze financial data and create models for decision support.
• Report on financial performance and prepare for regular leadership reviews.
• Analyze past results, perform variance analysis, identify trends, and make recommendations for improvements.
• Identify and drive process improvements, including the creation of standard and ad-hoc reports, tools and dashboards.
• Develop and implement initial vision for Analytics team, including right mix (for now) of centralization and decentralization across functions. 
• Recommend resources 
• Work with Execs and others to identify and begin to address key analytical gaps. 
• Establish a process for analytics requests and validation that includes well-defined inputs, outputs and process for completion.
• Come up to speed on ongoing Sales Ops BI project, and be prepared to take on responsibility for it when it’s complete (but not before).
• Complete immediate FPandA projects.
• Improved dashboard for senior management and Board.

Skills on Resume: 

• Strategic Planning (Soft Skills)
• Organizational Development (Soft Skills)
• Insights Generation (Soft Skills)
• Technology Utilization (Hard Skills)
• Data Governance (Soft Skills)
• Product Development (Soft Skills)
• Team Management (Soft Skills)
• Financial Planning and Analysis (FP&A) (Hard Skills)

Job Summary:

• Build an analytics roadmap aligned to the strategic and operational needs of the business, and partner with Engineering team to execute this roadmap
• Partner with business stakeholders to establish and monitor ongoing KPIs, build out data platforms and infrastructures, and define new business metrics
• Foster and reinforce a culture of data-driven decision making; ensure data fluency within the company and train to enhance self-service analytics capabilities
• Determine how KPIs impact operational and financial performance of the business, work with business unit leaders to strategize accordingly
• Conduct adhoc analytics projects as required by management and investors
• Responsible for BI team leadership for all members of the department, with ultimate accountability for tactical, ad hoc, and strategic initiatives and deliverables
• Ownership of the overarching corporate data governance, data integrity and data management processes, strategy and vision for the company.
• Provide leadership and insights to answer critical business questions and anticipate opportunities based on analytical, data, and business knowledge.
• Communicate to key decision makers including senior leadership, to facilitate decision making and project execution on a daily, weekly, and monthly basis.
• Maintain, manage and analyze reports that currently reside outside of automated systems and drive improvements until they are fully integrated and automated.
• Create, implement and own comprehensive data governance strategy and roadmap, including building upon the existing data dictionary, addressing data integrity issues, and working cross functionally to solve root cause process or systems issues.
• Develop comprehensive understanding of key business processes, and associated data and systems.
• Support ad hoc data analysis requests on an as-needed basis (for example, business budgeting, forecasting, actuals reporting and variance analysis).

Skills on Resume: 

• Strategic Planning (Soft Skills)
• Stakeholder Collaboration (Soft Skills)
• Data Literacy Training (Soft Skills)
• Business Acumen (Soft Skills)
• Analytical Problem-Solving (Hard Skills)
• Team Leadership (Soft Skills)
• Data Governance (Soft Skills)
• Business Insights Generation (Soft Skills)