Job Summary:

• Assist stakeholders with answering business questions with data
• Develop dashboards for monitoring the performance of various initiatives
• Assist with the preparation of regular reporting materials
• Maintain and improve existing dashboards
• Work with data engineers to discover new data sources and develop integrations
• Assist data engineers with maintaining data sets and existing integrations
• Maintaining ongoing client reporting requirements such as weekly campaign summary, campaign performance summary, and maintenance workstreams such as data loading, QCs, etc.
• Designing, developing, delivering, and maintaining reports and visualizations to business users through tools such as Alteryx Designer and Power BI.
• Writing SQL queries to extract and load data for reports and ad hoc projects.
• Designing, developing, and maintaining meaningful data approaches and strategies.
• Develop innovative statistical and ML models to predict customer behaviors leveraging client proprietary datasets.
• Evaluate potential new data sources to enhance models and decision-making

Skills on Resume: 

• Data Analysis (Hard Skills)
• Dashboard Development (Hard Skills)
• Reporting Skills (Hard Skills)
• Data Integration (Hard Skills)
• Data Maintenance (Hard Skills)
• Tool Proficiency (Hard Skills)
• SQL Proficiency (Hard Skills)
• Data Strategy and Modeling (Hard Skills)

Job Summary:

• Manage the relationship and communication between clients and the business.
• Become a subject matter expert on Trading Analytics products and share knowledge with end users.
• Understand the needs of different customers and work with internal product management, technical, and operations teams to ensure deliver effective solutions to complex problems.
• Collaborate with colleagues and external partners on issues that require escalation and manage the process effectively through to resolution.
• Provide insight to the sales team and product managers regarding new revenue opportunities and new product enhancements.
• Drive continual improvement of the client service processes and strive for a world class customer experience.
• Supporting credit vetting activities under portfolio understanding quantitative and qualitative data needed to make an informed decision
• Understanding the role of credit vetting in revenue operations and the supporting activities needed by other stakeholders.
• Learning on the job, regarding impact of decisions as well as the tools available to minimize financial risk.
• Analyse prospective contracts and advise on customer ratings as per the information available. 
• Ensure smooth onboarding and highlight possible issues.

Skills on Resume: 

• Relationship Management and Communication (Soft Skills)
• Product Knowledge Acquisition (Hard Skills)
• Customer Needs Analysis (Soft Skills)
• Collaboration (Soft Skills)
• Sales Insight Provision (Soft Skills)
• Process Improvement (Soft Skills)
• Data Analysis for Credit Vetting (Hard Skills)
• Risk Assessment (Hard Skills)

Job Summary:

• Provide key insights to inform strategic planning 
• Develops and represents the voice of the consumer through thoughtful data collection, insightful observations, and deep analysis.
• Help scope consumer research for new product innovation and renovation.
• Analyze syndicated data and make informed business recommendations related to products, channels, pricing, etc.
• Designs and executes qualitative and quantitate research via retailer panel data and online insights platform.
• Supporting business processes and supporting internal clients and accounts
• Manage and collect data from a variety of sources
• Identify reporting anomalies and creating actions to remedy
• Process improvements, driving efficiencies and deadlines.
• Strong background in business analytics, and business data to drive improvements

Skills on Resume: 

• Strategic Planning (Soft Skills)
• Consumer Target Identification (Hard Skills)
• Consumer Insights Development (Hard Skills)
• Consumer Research (Hard Skills)
• Data Analysis (Hard Skills)
• Qualitative and Quantitative Research (Hard Skills)
• Data Management (Hard Skills)
• Process Improvement (Soft Skills)

Job Summary:

• Prepare in timely manner all kinds of necessary analytical information on regular basis/on request
• Frequently analyze forecast trends and provide updates to Sales and Marketing leadership and as part of SandOP process for national /channel /customer /product level.
• Support overall strategic plan development for customer marketing
• Serve as the main go to for the 3rd party analytics agency. 
• Help organize, analyze and draw conclusions and insights from syndicated data sources (IRI, Nielsen), translating findings for applicable Marketing/ sales team.
• Provide e-commerce analytics and help drive projects to win on the Digital shelf
• Drive ROI/ROAS mindset to analyze each investment decision, and reinvest to maximize returns on shopper/trade spends
• Manage the annual planning process for the NA team.
• Publishing calendar, setting meetings/content, working closely with US/CA Sales broker to align timeline to their key launch windows and customer timelines. 
• Manage Lessons Learned process.
• Management and validation of customer-specific opportunities/business cases

Skills on Resume: 

• Analytical Skills (Hard Skills)
• Forecasting and Trend Analysis (Hard Skills)
• Strategic Planning (Soft Skills)
• Vendor Management (Soft Skills)
• Data Analysis (Hard Skills)
• E-commerce Analytics (Hard Skills)
• ROI Analysis (Hard Skills)
• Project Management (Soft Skills)

Job Summary:

• Work with research tools, delivering data points for consumer insight generation
• Ownership for the quality and timeliness of the analytics deliverables
• Drive successful completion of data insight initiatives
• Strong and effective collaboration with internal co-workers and stakeholders on the client side
• Responsible for weekly reporting in PBI including refreshing dashboards and data compiling/cleaning for reporting
• QA taxonomy/trafficking sheets, help manage deadlines, sending reports out to internal teams so they can QA data
• Work with partners to set up brand lift studies, collect the study results, and compile them into a deck for client presentation
• Supporting internal stakeholders across all levels of the organization by designing standardized reports and analytics for all clients
• Deepening and expanding partnerships with clients by creating tailored custom analytics
• Increasing new business sales conversion by using data and analytics to enhance sales pitch to clients
• Empowering sales team and managers to make data-driven decisions by creating internal reporting and analytics

Skills on Resume: 

• Research Tool Proficiency (Hard Skills)
• Quality Assurance (Hard Skills)
• Project Management (Soft Skills)
• Collaboration (Soft Skills)
• Reporting Skills (Hard Skills)
• Data Compilation and Cleaning (Hard Skills)
• Client Presentation (Soft Skills)
• Sales Enablement (Hard Skills)

Job Summary:

• Develop insights and measurement capabilities to enable product strategy across investments, trading, and banking.
• Create timely strategic and portfolio insights to enable executive updates on the health and directions of the retail business.
• Create 360 views of customer relationships across products and their engagement on channels.
• Present findings to key stakeholders with visualizations, clear language and logical rationale.
• Build capabilities in analytics and data visualization to inform business strategies.
• Present findings to key stakeholders with visualizations, clear language and logical rationale.
• Apply various data modeling techniques to identify the most profitable path to incremental revenue and user growth across channels.
• Development of ML, AI and analytical models and solutions to fulfill current business needs and strategic objectives
• Support in the development of decision support models and analytical solutions for service operations using maintenance, reliability, parts supply, and other operational data sets
• Contribute to the development of roadmaps for data analytics for future business needs and strategy
• Develop, maintain, and improve dashboards, KPIs and measures to monitor business trends and identify gaps in data quality
• Identify potential improvement for Enterprise Asset Management (EAM) based on analyzed data to maximize use of digitalization and technology
• Support/organize/participate in workshops with data scientists, analysts, and specialists from interdisciplinary domains

Skills on Resume: 

• Product Strategy Development (Hard Skills)
• Strategic Insight Generation (Hard Skills)
• Customer Relationship Management (Hard Skills)
• Stakeholder Presentation (Soft Skills)
• Analytics and Data Visualization (Hard Skills)
• Data Modeling (Hard Skills)
• Machine Learning and AI Development (Hard Skills)
• Decision Support Modeling (Hard Skills)

Job Summary:

• Become Subject Matter Expert on data used in Monitoring reports in order to help guide developers, when required
• Assist in writing use cases for program testing
• Assist in root cause analysis for issues identified in testing and vetting
• Respond to data questions from business partners. 
• Writing SQL and sometimes SAS code to get data that is being requested
• Gather and document requirements for new reports
• Manage the Evergreen Process to ensure reports stay current
• Calculate and submit the Key Performance Indicators and Key Risk Indictors

Skills on Resume:

• Data Subject Matter Expertise (Hard Skills)
• Use Case Writing (Hard Skills)
• Root Cause Analysis (Hard Skills)
• Communication with Business Partners (Soft Skills)
• SQL and SAS Coding (Hard Skills)
• Requirement Gathering (Soft Skills)
• Process Management (Soft Skills)
• Key Performance Indicator (KPI) Calculation (Hard Skills) 

Job Summary:

• Partner with cross-functional teams to address business questions and diagnose problems
• Apply both creative and rigorous analyses
• Drive insights into actionable business decisions
• Work across the entire organization to help define, set, and track KPIs and OKRs for success
• Work with the operations team to drive efficiencies and continuous improvement
• Work with the marketing team to support a world class growth engine
• Work with the engineering team to develop algorithms that continue to drive fintech innovation in the insurance industry
• Work with finance to accurately track and analyze the financial health of the company
• Participate in company strategy development and operational capacity allocations

Skills on Resume: 

• Cross-functional Collaboration (Soft Skills)
• Analytical Thinking (Hard Skills)
• Decision-Making (Soft Skills)
• KPI and OKR Definition and Tracking (Hard Skills)
• Process Improvement (Soft Skills)
• Marketing Support (Soft Skills)
• Algorithm Development (Hard Skills)
• Financial Analysis (Hard Skills)

Job Summary:

• Have responsibility for solving the interesting and intellectually challenging problems that allow us to grow.
• Join Marketing or Analytics teams and set the agenda for either Credit, Product, or Marketing strategies.
• Work fluently with a variety of information sources
• Connecting detailed analysis of customer-level data with qualitative feedback from user research or line operations
• Synthesize and articulate the insights arising from this information into coherent market-facing strategies that deliver sustainable growth and positive customer
• Present to and work with senior leadership and cross-functional teams to deliver on this strategic intent
• Continually review and evaluate the impact of strategies in light of external market and economic conditions – optimizing for further innovation and understanding
• Demonstrated through academic or professional experience

Skills on Resume: 

• Problem-Solving (Hard Skills)
• Strategic Planning (Soft Skills)
• Information Management (Hard Skills)
• Data Analysis (Hard Skills)
• Synthesis of Insights (Hard Skills)
• Presentation Skills (Soft Skills)
• Market Evaluation (Hard Skills)
• Academic or Professional Experience (Soft Skills)

Job Summary:

• Responsible for the development of market risk methodology and market risk models which feed directly into the firm’s internal and regulatory capital calculations and risk management frameworks.
• Desire to learn and the ability to work well at both the regional and global level.
• Development, enhancement and maintenance of market risk models (VaR, Stressed VaR, IRC, CRM and RNIV) to ensure ongoing appropriateness.
• Contribution to key regulatory deliverables and programs as well as analysis and interpretation of key regulatory requirements.
• Perform ongoing monitoring and evaluation of market risk models, review existing models to ensure they remain fit for purpose and make improvements where necessary.
• Collaborate closely with the model validation team to understand validation findings and remediate any identified issues
• Collaborate with the other teams (data, IT, change management) to ensure that model changes are appropriately implemented.
• Document models and associated developmental analysis, present results to partners and stakeholders

Skills on Resume: 

• Market Risk Methodology Development (Hard Skills)
• Global Collaboration (Soft Skills)
• Market Risk Model Development (Hard Skills)
• Regulatory Compliance (Hard Skills)
• Model Monitoring and Evaluation (Hard Skills)
• Collaboration with Model Validation Team (Soft Skills)
• Interdepartmental Collaboration (Soft Skills)
• Documentation and Presentation Skills (Soft Skills)

Job Summary:

• Learn and understand a broad range of data sources
• Become an expert on BI tool (Heap)
• Dive into sales conversion data to identify areas for revenue growth and cost efficiencies
• Conduct interviews with business leaders to understand their data needs and challenges and identify potential projects
• Present recommendations on outbound sales efforts to members of leadership team
• Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc
• Own headcount planning model to enable best-in-class customer turnaround times
• Recommend and prioritize data structure requirements to enable greater data collection and analysis
• Dive into customer feedback to help shape customer lifecycle roadmap
• Analyze publicly available data to guide the expansion of the suite of services
• Help us understand unit economics at the customer level
• Improve the quality of data: hone internal definitions, identify areas 
• Improve the accuracy and completeness of internal and external reporting

Skills on Resume: 

• Data Source Familiarity (Hard Skills)
• Business Intelligence Tool Proficiency (Hard Skills)
• Data Analysis for Revenue Growth and Cost Efficiencies (Hard Skills)
• Stakeholder Interviewing (Soft Skills)
• Presentation Skills (Soft Skills)
• Reporting and Dashboard Development (Hard Skills)
• Financial Modeling (Hard Skills)
• Data Structure Optimization (Hard Skills)

Job Summary:

• Perform regular and ad hoc data analysis
• Work across the customer service, customer acquisition, finance, operations, and product teams
• Produce reporting and analysis answering key business questions
• Establish processes and priorities for company data
• Developing processes around data management, requests, and prioritization
• Establish best practices that will power data-driven insights across functions 
• Work with the technical team to ensure the data and tools as need as continue to scale
• Use data to inform key business decisions
• Testing product changes, crunching the numbers on new market launches, or optimizing FX management,
• Wrangle small and large datasets in fresh and original ways to ensure that the whole organization is ‘data-smart’ in its key decisions
• Generate analytics for the broader risk management teams and senior business stakeholders
• Produce relevant risk dashboards and risk reports
• Work with various teams to understand analytics needs
• Design new and enhance existing models to ensure alignment with the Group Risk Framework
• Support stress testing and model validation activities as directed by the Head of Risk Analytics
• Assist with any ad-hoc quantitative analytics needs as directed by the Head of Risk Analytics

Skills on Resume: 

• Data Analysis (Hard Skills)
• Cross-functional Collaboration (Soft Skills)
• Reporting and Analysis (Hard Skills)
• Data Process Establishment (Soft Skills)
• Data Management Process Development (Hard Skills)
• Best Practice Establishment (Hard Skills)
• Technical Team Collaboration (Soft Skills)
• Data-informed Decision Making (Hard Skills)

Job Summary:

• Develop custom dashboards and visualizations to highlight trends, outliers, and opportunities, empowering clients to make strategic business decisions
• Developing a targeted, in-depth understanding of client needs to help resolve their issues through reactive or proactive measures
• Assisting with the collection, loading, standardization, and identification of relevant structured data for analysis
• Reviewing disparate sets of transactional and financial data for the purposes of complex litigation
• Developing custom dashboards and visualizations to highlight trends, outliers, and opportunities, empowering clients to make strategic business decisions
• Assisting with the development of final deliverables, reports, and presentations to be distributed to clients
• Meeting expectations regarding case deadlines and budgetary restrictions while working simultaneously on several time-sensitive engagements
• Travel as required for data collection, site visits, and client meetings
• Join an established and growing financial institution that puts risk management and data analytics at the forefront of their business and employs the latest methodologies.
• Work closely with all of the different stakeholders from the business and infrastructure, providing them with valuable analytics on the different risk metrics.
• Utilize the most sophisticated data analysis techniques, developing intelligent and robust data-analysis programs using SQL / SAS / Python / R.
• Work closely with internal teams to implement region-wide risk strategies, ensuring a robust governance and risk framework to improve credibility with clients.
• Acquire a deep understanding of the key risk metrics impacting the portfolio performance and the ability to easily identify ways to mitigate or reduce risk exposures.
• Support ad-hoc requests from the business to run risk analytics assessments.

Skills on Resume: 

• Dashboard and Visualization Development (Hard Skills)
• Client Needs Understanding (Soft Skills)
• Data Collection and Standardization (Hard Skills)
• Data Review for Litigation (Hard Skills)
• Report and Presentation Development (Hard Skills)
• Time Management (Soft Skills)
• Travel Flexibility (Soft Skills)
• Risk Management Analytics (Hard Skills)