• Decision Enablement: Partner with leaders across the business to enable data-driven decisions.
• Reporting & Insights: Create reports, dashboards, analyses, models, and insights to support informed decision making.
• Resource Management: As the team grows: manage analytics resources to provide data assets and occasionally assist in their delivery.
• Strategic Planning: Develop and execute a roadmap for high priority deliverables.
• Engagement Optimization: Track the impact of and improve engagement with data assets.
• Opportunity Identification: Proactively identify opportunities across the company to use data to improve business outcomes.
• Team Development: Recruit, train, supervise and support the development of team members in the analytics function.
• Quality Assurance: Ensure the quality of team deliverables.
• Data Analysis: Gather, analyze, and interpret data, derive meaningful business conclusions.
• Performance Tracking: Develop reporting dashboards to track and assess product performance.
• Strategic Presentations: Develop insightful presentations that drive strategy and decision-making.
• Trend Forecasting: Build complex models to forecast future trends.
• Program Evaluation: Evaluate program success against KPIs.

• Mentoring & Development: Mentor team members to develop skills in alignment with their job.
• Solution Design: Design integrated solutions that may involve 3rd party tools.
• Reporting Management: Manage reporting tasks such as PowerBI to report refresh failures.
• Cross-functional Collaboration: Collaborate across broader Koch teams to achieve a vision.
• Procurement Partnership: Strong collaboration within Procurement to develop a relationship with peers.
• Backlog Coordination: Proactively schedule weekly backlog meetings with internal customers.
• Backlog Management: Efficient and effective management of work backlogs.
• Supply Chain Analytics: Responsible for developing and delivering across the following areas: Supply Chain Metrics and Performance Reporting and Managing and continuously improving dashboards and scorecards.
• Benchmarking: Supply Chain Performance and Financial Benchmarking.
• Digital Strategy Collaboration: Collaborate with IS to align key digital needs and roadmaps to advance the use and automation of data and reporting.
• Industry Engagement: Liaise with external peer groups and professional associations to identify trends in analytics, scorecards, technology, and the latest automation thinking.
• Leadership & Management: Provide direct leadership and management of team members reporting to the role.
• Talent Development: Responsible for building talent and capabilities within direct and indirect reporting relationships.
• Coaching in Analytics: Mentor and coach the team in data and analytic techniques.

• Digitization: Demonstrates significant technical mastery in the design and development of digitization projects including data acquisition, equipment integration.
• Leadership: Displays flexibility in leadership styles and empowers others to constantly achieve and strive to exceed personal and company objectives.
• Influence: Has strong interpersonal skills to influence and build strong working relationships with multiple stakeholders to ensure projects are delivered with efficiency.
• Data Expertise: Carries significant, evidenced, technical expertise in Scientific data management resources, specifically including informatics, modeling, and simulation and demonstrable knowledge of the digital integration of these tools in laboratory and process environments, as well as a compelling track record of complex technical problem solving.
• Technical Leadership: Demonstrates a long track record of technical leadership, of exploiting, generating and defining new approaches in scientific data management and technology.
• Informatics: Exhibits professional mastery of principles and practices gained through deep development in the area of informatics with particular knowledge and expertise in the collection, analysis, and visualization of complex data with demonstrable research experience, gained in either an academic or industrial environment.
• Data Value: Extract value from the data assets by connecting business users with data insights in a fast, streamlined and efficient manner.
• BI Development: Develop, modify and grow the business intelligence capabilities.
• Analytics Strategy: Drive the analytics vision and strategy across people, processes and technology.
• Data-Driven: Grow the company’s use of data in its decision making.
• Team Learning: Continuously drive the learning and development of the team.

• Global Teamwork: Working on a globally distributed team, using a “follow the sun” model.
• People Management: People management in Business Intelligence or Analytics with a proven track record of hiring.
• Communication Skills: Communicate with technical and non-technical data consumers.
• BI Expertise: First-hand expertise in Tableau (or other BI tools), building and maintaining enterprise-level dashboards.
• SQL & Git Proficiency: Have excellent SQL skills and comfortable using Git, Python.
• Data Visualization Passion: To be passionate about Data Visualization and driving user adoption of dashboards.
• Code Quality: Commit to creating clean reproducible code.
• Data Handling: Understanding of data gathering, inspecting, cleansing, transforming and validating assumptions.
• Adaptability: Adapt flexibility to changing requirements to meet stakeholder needs.
• Ambiguity Tolerance: Thrive in a dynamic environment with a high degree of ambiguity.

• Team Leadership: Lead a team of analysts and focus on accountability and outcomes with data.
• Stakeholder Management: Manage relationships and prioritize the team's project queue.
• Strategy Support: Enable strategy development and decision-making through data analytics.
• Insight Generation: Generate insights from data sources to support business initiatives.
• Executive Reporting: Translate analyses into executive-level communications on performance drivers.
• Analytics Expertise: Serve as an analytics expert across digital platforms, integrating data sets to understand business trends.
• Dashboard Management: Develop and maintain dashboards to identify improvement opportunities.
• Collaboration: Work with stakeholders to define data and reporting needs for new features.
• Trend Analysis: Conduct analyses to identify trends and recommend actions.
• A/B Testing: Implement and analyze tests to optimize conversions and performance.
• Methodology Advancement: Apply new analytical methodologies and techniques, including KPI reporting and modeling.
• Metric Development: Develop metrics to measure product performance.

• Product Evangelism & SME: Evangelize and become an SME on the existing product suite to understand product usage for commercial goals.
• Customer-Centric Analytics: Execute analytics projects with customers and the customer success team to understand their strategy and intended output from the product suite.
• Descriptive Analytics: Explore available data with descriptive analytics.
• Innovative Solution Development: Partner with Advanced Services team members to develop innovative analytical solutions, bringing a client perspective to answer key business questions.
• Analytical Solution Building: Build analytics solutions to augment the functionality of the core software suite.
• Client Communication: Serve as the main point of contact with clients, communicating technical results to both technical and non-technical audiences.
• Capability Codification: Support broader capability development by codifying anonymized case studies, building standardized analytical approaches, and informing product enhancements.
• Project Management: Manage project delivery, ensuring projects are delivered to customers on time and at high quality by coordinating with local customer-facing and global development teams.
• Predictive Insights: Create insights from predictive statistical modeling to deliver client value.
• Statistical Application: Apply deep statistical and mathematical knowledge, tools, and techniques to uncover relationships among variables.
• IP Development: Develop intellectual property involving specific analytical methodologies, mathematical modeling, or optimization techniques and their applications to business issues.
• Analytic Requirements Translation: Translate business issues into specific requirements to develop analytic solutions, identifying appropriate data to support the solution.
• Strategic Collaboration: Collaborate with Accenture and/or external consulting teams to address business issues and influence change using strategy, industry, and analytical skills.

• Work very closely with the senior leadership in technical and non-technical functions.
• Manage stakeholder expectations, end to end demand management, creating a strategic and tactical roadmap and mindset in the team to deliver impact, value added analytics and insights
• Using cutting-edge analytical tools and technologies, enable end-to-end automation to ensure easy operationalization of projects.
• In addition to delivering quality outputs, should be able to demonstrate cost or revenue benefit to stakeholders.
• Hands-on experience in creating analytics solutions and semantic layers for optimal performance to meet stakeholder specifications and SLAs for analytics in house offerings
• Lead brainstorming sessions, create analytical plans, provide guidance to team members, identify value creation areas, evaluate predictive models  and algorithms, pressure test approaches  and outcomes, be responsible for quality control
• Establish standard processes and procedures and promote team collaboration  and self-improvements
• Work in an agile driven environment using Scrum
• Ability to work nimbly across multiple projects, with fast-paced, iterative product development cycles.
• Manage and mentor a team of employees and vendors. 
• Motivate the team to achieve objectives and Targets
• Make proposals, work on sizing the team to cater to demand, keep a ready pipeline of resources to ensure there is no disruption to the capability and key deliverables.

Experienced in Skills: Leadership and Collaboration, Stakeholder Management, Analytics and Insights, Business Impact and Cost Management, Project Management in Agile Environment, Strategic Thinking and Planning, Team Management and Mentorship, Resource Management

• Partnership Building: Develop deep partnerships with engineering and product teams.
• Strategic Measurement: Support major measurements, testing, and modeling for data-informed strategy.
• Data Experimentation: Foster hypothesis generation and experimentation in the Product team.
• Insight Strategy: Manage insight generation to understand user behavior and improve efforts.
• Data Quality Management: Ensure data quality across multiple systems.
• Team Building: Develop an Analytics team for quick data gathering and insight summarization.
• Knowledge Sharing: Promote adoption and understanding at all levels.
• Strategy Optimization: Reduce one-off data requests.
• Brand Awareness: Understand client brands, equity, and consumer motivations.
• Presentation Skills: Deliver impactful presentations and drive decision-making.
• Marketing Insights: Increase ROI on marketing investments through critical insights.
• Client Development: Support client growth in data and analytics areas.
• Problem Resolution: Offer problem solving and intervention.

• Team Management: Managing a team of analysts and multiple analytical deliverables on a weekly and monthly basis.
• Quality Assurance: Ensure quality and timeliness of measurement deliverables that meet and exceed client expectations.
• Strategy Development: Build campaign performance and targeting strategies and analysis.
• Database Management: Database management, cleansing, segmentation analysis.
• Leadership: Provide strong leadership to the analytics team.
• Career Development: Lead and develop the career path for the team and scale their influence with internal stakeholders and clients.
• Resource Utilization: Demonstrates the ability to utilize resources and help guide clients’ marketing goals in their respective industries.
• Thought Leadership: Be a thought leader, working closely with both clients and the account teams.
• Creative Solutions: Assess business and marketing challenges, providing creative solutions that achieve targets and objectives.
• Tech Adoption: Understand and adopt new techniques and technologies relevant for clients’ digital marketing strategies.
• Business Intelligence: Consistently deliver business intelligence to guide targeting, media, and creative strategy.
• Campaign Optimization: Develop campaign learning and associated test plans to influence and optimize ongoing client campaigns.
• Insight Synthesis: Formulate 'stories' by synthesizing insights, implications, recommendations, and roadmap towards achieving business goals.

• Client Consultation: Work with clients to understand their bespoke requirements for each project.
• Data Preparation: Cleanse and validate client data to develop tailored solutions and customized analytics reporting.
• Mentorship: Responsible for the development of a junior analyst.
• Modeling: Build models for descriptive, predictive, and prescriptive analytics.
• Scripting: Build scripts to process large volumes of data.
• Financial Analysis: Analyze financial transitions and develop reporting dashboards and visualizations.
• Team Leadership: Contribute to the leadership of the team, mentoring and coaching junior staff.
• Brand Development: Develop the firm's analytics brand and business.
• Fraud Detection: Apply analytics to prevent and detect indicators of financial crime and corruption.
• Best Practices: Lead in developing and expanding best practices in structuring analyses, dashboard design, and data visualizations.

• Stakeholder Engagement: Liaise with stakeholders from aforementioned teams to define and track core KPIs.
• Dashboard Development: Train and empower data self-service, build dashboards.
• Process Optimization: Identify gaps and opportunities in data ingestion, automation, and ETL processes and work with the Analytics Engineering team to fill.
• Business Acumen: Have a strong understanding of the aforementioned business areas.
• Impact Analysis: Prioritize, scope, and execute analyses that drive immediate impact.
• Strategic Prioritization: Develop a strong perspective on how to prioritize and fill the analytics gaps across all aforementioned business areas.
• Team Development: Identify additional future team investment required to drive further analytical impact for these business areas.
• Roadmap Planning: Plan and own the Business Operations Analytics roadmap for 6-12 months ahead.
• Collaborative Analysis: Proactively collaborate with stakeholders to identify, plan, and conduct larger scope analyses that drive long-term impact.

• Stakeholder Collaboration: Work collaboratively with stakeholders to understand their commercial objectives and define the role of data in informing the response to challenges.
• Audience Analysis: Use analytical tools to understand digital audiences and fan behavior, identifying fan touchpoints and personas.
• Data-Driven Experience: Drive the intelligent capture and use of data for a consistent and personalized digital experience across channels.
• Analytics Monitoring: Monitor analytics to identify insights that support business decisions and initiatives.
• Trend Analysis: Create monthly summaries of key trends and drivers, going beyond regular performance and KPI dashboard reporting.
• Digital Optimization: Coordinate the optimization of existing and new digital assets.
• Performance Reporting: Report on digital marketing campaigns and assets against goals, providing optimization recommendations.
• AB Testing: Suggest and execute AB tests for website experience improvements, from hypothesis to post-test analysis.
• Data Structuring: Ensure data availability and structure for use in infographics and collateral.
• CRM Development Support: Contribute to CRM solution development and effective use, including data management and platform onboarding.
• Digital Expertise: Maintain expertise in the digital audience and data space, educating others within the organization.