Job Summary:

• Collaborate with the regional Marketing teams on the planning, tracking and measurement of campaign analytics
• Own the roadmap and communication plan for implementing Marketing's analytics and data governance initiatives
• Ensure data quality, compliance and auditing meet regulatory standards, including GDPR and MiFID II
• Optimise the client journey using data and insight to inform business decisions across multiple digital touchpoints
• Help manage the backlog of Marketing's analytics priorities and define achievable objectives to be delivered using the Agile process
• Oversee the process, structuring and integration of Marketing data to ensure it's suitability for use by key stakeholder groups
• Strive to improve the day-to-day use of data and insights to support client retention and new business development
• Continuously explore new ways to improve Marketing's analytics capability an measure the return on investment
• Be a voice of reason and positive change to encourage the best-in-class use and adoption of analytics by the Global Marketing teams
• Support business users with change management initiatives to manage data more effectively.
• Assess the need for data management, data quality and data stewardship tools.
• Work IT functions to support users and improve day-to-day work.
• Facilitate access to data by scientists through detailed knowledge of data landscape and infrastructure.

Skills on Resume: 

• Data Analytics Optimization (Hard Skills)
• Compliance Management (Hard Skills)
• Agile Project Management (Hard Skills)
• Data Quality Assurance (Hard Skills)
• Stakeholder Collaboration (Soft Skills)
• Change Management Support (Soft Skills)
• Data Governance Implementation (Hard Skills)
• Marketing Performance Measurement (Hard Skills)

Job Summary:

• Uses established methodologies to collect and properly manage grant award data in the Research Navigator/Click grants award database.
• Prepares requested data thoroughly and accurately for statistical analyses and required reporting.
• Runs 20+ validations designed to maintain strict data quality control and work with staff and Research IT to resolve data issues.
• Educates grants data users (department personnel, management, and communications personnel) about the intricacies of grant data and how it flows from source to reports.
• Primarily responsible for timeliness, completeness and accuracy of the data set.
• Builds a general knowledge base of policies, procedures and documentation associated with federal and non-federal grant sponsoring agencies, using appropriate source material and doing research
• Suggest changes and additions to database methodology and data capture process to supervisor. 
• Troubleshoots data and reporting challenges.
• Review any issues that deviate from standard procedures with supervisors.
• Assists in data analysis, preparation of material for presentation, and other output-driven initiatives based on the data maintained in the database.
• Developing novel approaches, and rigorously benchmarking existing approaches, for the ingestion, reprocessing, and quality control of large-scale exome sequencing, genome sequencing, RNA-seq, single-cell RNA-seq, and associated metadata
• Developing prototype code for quality control approaches, and working closely with a software engineering team to ensure this code can be deployed at scale and shared as open-source software

Skills on Resume: 

• Grants Data Management (Hard Skills)
• Statistical Data Analysis (Hard Skills)
• Data Quality Control (Hard Skills)
• User Education and Training (Soft Skills)
• Research Methodology Knowledge (Hard Skills)
• Problem-Solving and Troubleshooting (Soft Skills)
• Quality Control Development (Hard Skills)
• Collaborative Software Development (Soft Skills)

Job Summary:

• Collaborate with the Head of Analytics data to design and deliver procedures for effective data management.
• Enrich metadata techniques for data management to ensure adequacy, accuracy, and legitimacy of data.
• Oversee and manage team members in daily processes and coordinate priorities.
• Assess system performance and make recommendations for process improvements.
• Contribute and manage daily processes ensuring that data issues are found, investigated, resolved and reported to internal and external platform users to maintain the integrity of Platts’ data.
• Assist in answering data-related client questions, both internal and external, to ensure platform user queries are investigated and status updates provided to client-facing team members.
• Work closely with analysts, IT and the Business Intelligence team to understand data and apply business metadata to new and existing data to help us deliver market-relevant data to internal users, external users and products.
• Ensure the coordination of all changes to business data and that they are reported to internal and external users to inform them of new and amended data and metadata for analysis.
• Maintain new and existing data change request backlog to ensure all requests are tracked and completed. 
• Prioritise backlog with analysts to ensure the dataset is accurate and up to date.
• Review analytical models in use and devise independent models to help verify data and analytical results.
• Assist in analytical support of data sets by working with wider data team, analysts and Business Intelligence team to ensure we have a complete and accurate dataset for European Gas, Power, Global LNG and other commodities.

Skills on Resume: 

• Data Management Procedures (Hard Skills)
• Metadata Enrichment Techniques (Hard Skills)
• Team Leadership and Coordination (Soft Skills)
• System Performance Assessment (Hard Skills)
• Data Integrity Management (Hard Skills)
• Client Relationship Support (Soft Skills)
• Change Management Coordination (Hard Skills)
• Analytical Model Review (Hard Skills)

Job Summary:

• Retrieve and analyze media sports data using Excel, Python, and other data management/BI systems (Power BI)
• Communicate with Ops teams (in Germany and India) daily to ensure the quality and deadlines
• Increase automation of local processes, and back office transaction processing and identify future strategies to monitor to increase efficiency
• Assist with testing of system changes and improvements
• Work with project managers to provide data insights and add value on the reporting
• Manage multiple project timelines to meet deadlines
• Loading finished data sets into the platform for collaborative analysis, and working with CPG analysts and collaborators to troubleshoot any problems with the completed data sets
• Meeting regularly with Centre trainees and other scientific staff to identify major challenges in data management, and work proactively with other team members to define solutions
• Contributing actively to scientific discussions around the best approaches to make sense of the large data sets generated and handled by the Centre
• Creating and maintaining documentation on datasets through the development of data dictionaries and data models.
• Ensuring users get the most out of data, pointing them in the right direction to answer questions.

Skills on Resume: 

• Data Analysis (Hard Skills)
• Python Programming (Hard Skills)
• Excel Proficiency (Hard Skills)
• Power BI Expertise (Hard Skills)
• Process Automation (Hard Skills)
• Project Management (Soft Skills)
• Data Documentation (Hard Skills)
• Collaboration and Communication (Soft Skills)

Job Summary:

• Manages complex data and business analyses to develop business plans and make recommendations.
• Reporting requirements, defining the metrics and be able to manipulate/build automated reporting for at project (day to day level) and weekly reporting for Senior Management, understanding country-specific requirements and how this translates
• Build spreadsheets that allow the team/business to be able to see easily the status of employees using formulas to roll up several status in to 1 level
• Build solutions that cater for multiple data streams that feed in to one spreadsheet
• Create reports to track programmatic progress to goals that provide actionable information to leadership with support from the Senior Data Director
• Design process for and administer regular tool audits to make sure accounts across all tools are deactivated
• Ensure data from volunteer and voter engagement tools regularly sync to Civis. 
• Highlight issues and manage the process to rectify with The Movement Cooperative (TMC) and vendors, with support from Senior Data Director
• Coordinate with leadership, TMC, and other national staff as appropriate to identify and resolve issues
• Working with the EDP team to introduce new datasets, understanding users’ requirements, ensuring development work is properly tested and signed off, and documented.
• Designing test scripts for EDP.
• Managing relationships with stakeholders.

Skills on Resume: 

• Data Analysis (Hard Skills)
• Reporting Automation (Hard Skills)
• Spreadsheet Development (Hard Skills)
• Process Design (Hard Skills)
• Stakeholder Management (Soft Skills)
• Issue Resolution (Soft Skills)
• Testing (Hard Skills)
• Coordination (Soft Skills)

Job Summary:

• Create policies and standards for data management in these areas such client accounts – banks, credit unions, vendors, and other / Client contacts / Vendors and vendor products/ Engagement History
• Manage the processes required to keep client, vendor, and engagement data accurate and current
• Manage the required integration of systems that share common data (Dynamics, Hubspot, Salesforce, other). 
• Create and maintain rules for data sharing among systems. 
• Develop and implement automated data updates between systems with clear definitions of data sources/destinations.
• Where data sharing cannot be automated, develop and implement manual processes to keep data consistent in all systems
• Maintain all vendor and product information in MS Dynamics
• Create and manage processes that assist consultants responsible for managed accounts.
• Perform industry surveillance and monitoring to identify trends and events (e.g., two financial institutions engaged in M&A activity, management changes, earnings announcements, etc.) that may impact the accuracy of key information associated to prospects and clients
• Create and manage procedures that update account information based on mergers
• Manage the relationship and interfaces with key third-party data sources, such as S&P Global, Zoominfo and FI Navigator
• Maintain common system views and reports used by employees

Skills on Resume: 

• Data Management Standards (Hard Skills)
• Data Accuracy Management (Hard Skills)
• System Integration (Hard Skills)
• Data Sharing Rules (Hard Skills)
• Automated Data Updates (Hard Skills)
• Manual Process Development (Hard Skills)
• Industry Surveillance (Soft Skills)
• Third-Party Relationship Management (Soft Skills)

Job Summary:

• Guide decisions with multiple stakeholders from business to data, to IT, assess strategic hypotheses and risks
• Lead a multi-disciplinary data team of 5 to 10 resources (including business & data analysts, data engineers & scientists)
• Oversee the transition from tactical on-premise data practices to strategic use of cloud-hosted data lake
• Scope and drive the delivery of POCs or MVPs for industrialization (BI (Data analyses) or Data Science (predictive modelling))
• Bring to life Data management lifecycle, effective and responsive data governance (roles and responsibilities), data quality (standards and monitoring) and fundamental data documentation (data dictionary, catalog…)
• Infuse data culture in the organization (data events, data communication, data training (path & content))
• Ability to storytelling and enthuse audiences on becoming a data-first organization
• Analyse and present the data, highlighting key risks and issues the data is showing, identifying any gaps
• Ensure programs are closed down and handed back to BAU
• Assess learnings and apply to further projects/programmes
• Troubleshooting complex data issues to understand the root cause and working with IT to produce solutions.
• Developing and implementing data quality measures for the data we hold in EDP and regularly monitoring data quality performance.

Skills on Resume: 

• Stakeholder Engagement (Soft Skills)
• Team Leadership (Soft Skills)
• Cloud Data Migration (Hard Skills)
• POC Delivery (Hard Skills)
• Data Governance (Hard Skills)
• Data Culture Promotion (Soft Skills)
• Data Analysis (Hard Skills)
• Data Quality Management (Hard Skills)

Job Summary:

• Create and enforce policies for effective data management using global guidance
• Adopt globally defined techniques for quality data collection to ensure the adequacy, accuracy and legitimacy of data
• Devise and implement efficient and secure procedures for data handling and analysis with attention to all technical and regulation aspects, according to global guidance
• Establish rules and procedures for data sharing with upper management, external stakeholders etc
• Support others in the daily use of data systems and ensure adherence to legal and company standards
• Assist with reports and data extraction when needed
• Ensure digital databases and archives are protected from security breaches and data losses
• Create and manage team process KPIs and SLAs
• Develop and implement procedures for effective data management
• Oversee and manage staff members in the daily use of data systems
• Regularly monitor and evaluate information and data systems that could affect analytical results.
• Raise program performance, effectiveness, cost efficiency, and improve the student experience.
• Identify new solutions or opportunities for better-coordinated data collaboration to continue to improve ATC processes.

Skills on Resume: 

• Data Management Policies (Hard Skills)
• Quality Data Collection (Hard Skills)
• Data Handling Procedures (Hard Skills)
• Data Sharing Rules (Hard Skills)
• Legal Compliance Support (Soft Skills)
• Database Security (Hard Skills)
• KPI and SLA Management (Hard Skills)
• Continuous Improvement (Soft Skills)

Job Summary:

• Ensure primary data systems and secondary systems are utilized to full potential, provide support to staff to ensure effectiveness
• Implement processes to maintain data integrity within our systems
• Regularly evaluate existing systems to identify areas where needed information is not effectively captured and reported, propose innovative solutions to these challenges
• Accomplish day-to-day work operations by establishing and managing data processes to accurately track comprehensive student information in an easily accessible fashion
• Supervise, manage, and counsel Data Aides to ensure steady growth and success
• Review all stages of the data life cycle for accuracy and completeness
• Create spreadsheets to track daily/weekly attendance and progress toward site goals
• Generate and analyze site-specific data reports, including aggregate data snapshots, to assess for trends around student participation, involvement in specific program activities, academic achievement, progress towards goal completion, and the like
• Share report analyses with the Director and Assistant Director(s), helping them to interpret reports and clarify focus areas for site participants
• Identify and implement strategies to leverage data to improve program performance
• Make recommendations on new solutions to continue to improve program performance and delivery.
• Champion innovation and continual improvement, posing tough questions, challenging status-quo thinking, and facilitating thoughtful

Skills on Resume: 

• Data System Optimization (Hard Skills)
• Data Integrity Maintenance (Hard Skills)
• System Evaluation (Hard Skills)
• Data Process Management (Hard Skills)
• Team Supervision (Soft Skills)
• Data Lifecycle Review (Hard Skills)
• Report Generation and Analysis (Hard Skills)
• Program Performance Improvement (Soft Skills)

Job Summary:

• Implementation of data-driven decision-making into all day-to-day operations of ATC and specific campus-wide initiatives such as the Center for Workforce Innovation.
• Designing, implementing, and measuring results-focused programming through the deployment of innovative tools and data analytics to increase organizational effectiveness.
• Evaluates end-user requests for data, clarifying what data is needed and creating reporting solutions and descriptive analyses of that data.
• Advises the ATC team and stakeholders in the effective interpretation and utilization of data based on analyses.
• Develops data scripts and queries against local databases (such as Banner), Technical College System of Georgia (TCSG) data warehouses (such as KMS), transactional data, and Excel/Access databases
• Creates and evaluates standard data tables, to increase self-service and minimize time on reporting function.
• Perform complex data analyses and data visualization with various programming tools (e.g., Access, Crystal, SQL/PL, SQL, JSL, SPSS, R, Tableau).
• Clean and synthesize data from multiple sources, analyze, perform quality checks, and package analysis to build a fact base for and push the thinking of ATC leaders.
• Provide training, presentations, and reports to the ATC team, advisory boards, and stakeholders to build a data-driven culture focused on continual improvement.
• Establish adequate evaluation processes of all ATC activities, including the development and coordination of effective data collection, monitoring, and reporting systems.
• Collaborate with varying ATC divisions and teams to design and implement regular data collection systems
• Participant and employer surveys, advising on best practices in survey design and how to interpret results to drive decision-making.

Skills on Resume:  

• Data Decision-Making (Hard Skills)
• Programming Implementation (Hard Skills)
• Data Evaluation (Hard Skills)
• Stakeholder Advising (Soft Skills)
• Script Development (Hard Skills)
• Data Visualization (Hard Skills)
• Data Cleaning (Hard Skills)
• Survey Analysis (Hard Skills)

Job Summary:

• Delivering high-quality MI and insight to support the business and enabling data-driven decision-making.
• The team interacts with all aspects of the business so expect every day to be different.
• Proactively delivering actionable insights to drive improvements in performance and help the business hit its strategic objectives.
• Recommendations will drive business strategy and enable informed decisions.
• Planning and prioritization of key deliverables for the Data and Insight Department
• People management of a team of 4 Analysts
• Data quality, integrity, and implementation of validation rules and controls
• Overseeing regular MI and reporting to internal and external stakeholders
• Improving data visualization
• Working with the technology team to ensure that the implementation of internal systems provides the necessary functionality and outputs to support data and billing requirements
• Track record in delivering first-rate analysis and insight.

Skills on Resume: 

• MI Delivery (Hard Skills)
• Data-Driven Insights (Hard Skills)
• Performance Improvement (Soft Skills)
• Business Strategy Recommendations (Hard Skills)
• Team Management (Soft Skills)
• Data Quality Assurance (Hard Skills)
• Reporting Oversight (Hard Skills)
• Data Visualization (Hard Skills)

Job Summary:

• Collaborates with Informatics, Research, QA, and Claims to ensure successful data delivery.
• Reviews data and reports for trends, common themes, and opportunities for improvement.
• Reports result to appropriate management and committees.
• Ensuring quality results by adhering to established standards and procedures
• Interpreting data, analyzing results using statistical techniques and providing ongoing reports
• Filtering and  cleaning  data by reviewing computer reports, printouts, and performance indicators
• Identifying, analyzing, and interpreting trends or patterns in complex data sets
• Develop reports, dashboards and analyses for operational, administrative, and accounting departments
• Collaborating with other data management team members in the planning and implementation of data quality assurance plans
• Selecting statistical methods for data analysis, and conducting analysis
• Effectively utilizing current technologies and available tools for conducting analyses
• Develops formats and presents reports and graphic presentations of data and supports department managers

Skills on Resume: 

• Cross-Department Collaboration (Soft Skills)
• Trend Analysis (Hard Skills)
• Reporting (Hard Skills)
• Quality Assurance (Hard Skills)
• Data Interpretation (Hard Skills)
• Data Cleaning (Hard Skills)
• Dashboard Development (Hard Skills)
• Statistical Analysis (Hard Skills)

Job Summary:

• Create standard operating procedures for data management
• Complete descriptive analyses of data
• Coordinate data transfers between team and clients
• Perform data quality assurance, ensuring data completeness and accuracy
• Ensure HIPAA compliance and de-identifying data
• Create linkage identifiers
• Interpret data and analyze results using statistical techniques.
• Develop and implement data analyses, data collection systems, and other strategies that optimize statistical efficiency and quality.
• Acquire data from primary or secondary data sources and maintain databases.
• Interpret data, analyze results using statistical techniques, and provide ongoing reports.
• Develop and implement databases, data collection systems, data analytics, and other strategies that optimize statistical efficiency and quality.
• Acquire data from primary or secondary data sources and maintain databases/data systems.
• Identify, analyze, and interpret trends or patterns in complex data sets.

Skills on Resume: 

• SOP Development (Hard Skills)
• Descriptive Analysis (Hard Skills)
• Data Coordination (Hard Skills)
• Data Quality Assurance (Hard Skills)
• HIPAA Compliance (Hard Skills)
• Linkage Identifier Creation (Hard Skills)
• Statistical Data Interpretation (Hard Skills)
• Data Trend Analysis (Hard Skills)

Job Summary:

• Establishes and oversees global data governance policies, sets strategy, and ensures alignment and consistency.
• Lead the work activities and has full management responsibility for the performance and development of a team of Master Data Managers and Analysts.
• Establishes, monitors, and assesses master data policies and practices.
• Initiates root cause analysis for data quality issues by engaging technical and business teams to identify, sequence, and implement solutions.
• Promote and take action to further SAP as the single-version of the truth for master data.
• Engage global employees in pursuit of a company-wide culture of data ownership.
• Develop and implement process controls and ensure adherence by all team members through active monitoring and review of the team's work.
• Responsible for defining, developing, and measuring data quality analytics and key performance indicators (KPIs).
• Support data conversion, mapping, and integration of master data across enterprise systems in support of SAP deployments and M&As.
• Identify and implement continuous improvement programs for all data management processes and data quality initiatives.
• Stays current in master data industry trends and standards

Skills on Resume: 

• Data Governance (Hard Skills)
• Team Leadership (Soft Skills)
• Master Data Policy Assessment (Hard Skills)
• Root Cause Analysis (Hard Skills)
• Data Ownership Promotion (Soft Skills)
• Process Control Development (Hard Skills)
• Data Quality Measurement (Hard Skills)
• Continuous Improvement Implementation (Hard Skills)

Job Summary:

• Identifying how and why data is important to the company
• Lead the improvements of data documentation and maintenance at the business
• Represent the department to senior management
• Training staff members on data entry procedures
• Ensure that clean data is managed well and the quality is of a high nature
• Review and improve all policies on data entry and storage
• Develop, implement, and improve innovative data tools to drive efficiency and desired program outcomes
• Predictive analytics, student engagement tools, data sharing systems with partner organizations, and more.
• Filter and clean data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems.
• Work with management to prioritize business and information needs.
• Locate and define new process improvement opportunities.

Skills on Resume: 

• Data Governance (Hard Skills)
• Quality Assurance (Hard Skills)
• Process Improvement (Hard Skills)
• Staff Training (Soft Skills)
• Predictive Analytics (Hard Skills)
• Data Documentation (Hard Skills)
• Stakeholder Communication (Soft Skills)
• Data Cleaning Techniques (Hard Skills)

Job Summary:

• Contributing to multidisciplinary research programs by developing methods for the management, storage and retrieval of data from experimental and computational projects
• Developing, documenting, populating, and maintaining databases, APIs, and web portals to store and serve genomic data and other data types
• Liaising with experimental and computational biologists, and machine learning experts, to understand data needs and to develop the best strategy for data management
• Providing technical expertise by contributing to proposals, meetings, and business development activities
• Performing quality control on incoming data using existing computational pipelines
• Developing SOPs that account for each step of the process
• Working with external and internal sequencing platforms
• Manage data submission to public data repositories
• Demonstrate a strong understanding of the data flow from collection through analysis
• Import and organize data from external sources for comparative analysis with internal data
• Use data surveillance tools and strategies to provide aggregate-level reviews to identify patterns or anomalies in data
• Stay current with and adopt new tools related to data management, analytics, and visualization to improve current processing pipelines

Skills on Resume: 

• Data Management Systems (Hard Skills)
• Database Development (Hard Skills)
• Cross-Disciplinary Collaboration (Soft Skills)
• Quality Control Procedures (Hard Skills)
• Standard Operating Procedures (SOPs) (Hard Skills)
• Data Analysis Techniques (Hard Skills)
• Data Visualization Tools (Hard Skills)
• Research Proposal Development (Soft Skills)

Job Summary:

• Lead DM activities and ensure study deliverables meet timelines and quality standards.
• Review of Clinical research documents (e.g., Protocols, Case Report Forms).
• Create and review electronic Case Report Form (eCRF) specifications.
• Develop critical DM documents such as the Data Management Plan, Data Validation Plan, eCRF Completion Guidelines, Data Entry Guidelines and Data Review Plan.
• Develop edit rules/checks, query logic and query messages.
• Develop User Acceptance Testing (UAT) Plan and perform testing on data entry screen and edit checks.
• Create and provide training to the clinical team and sites.
• Perform ongoing data review/reconciliation activities and provide metrics and patient trackers to monitor data clean up.
• Perform database lock/unlock and freeze/unfreeze activities as appropriate for statistical review, interim analysis, and final database lock.
• Coordinate the archiving of study databases and related documents.
• Create Data Transfer Specifications and perform external vendor reconciliation.
• Perform SAE reconciliation.
• Work to maintain/improve client satisfaction by ensuring high quality service, communication and management of clinical data.

Skills on Resume: 

• Clinical Data Management (Hard Skills)
• Document Review Expertise (Hard Skills)
• eCRF Development (Hard Skills)
• Data Validation Planning (Hard Skills)
• User Acceptance Testing (UAT) (Hard Skills)
• Data Reconciliation (Hard Skills)
• Database Management (Hard Skills)
• Client Satisfaction Management (Soft Skills)

Job Summary:

• Identifies potential program opportunities to deliver integrated solutions that meet multiple business partner needs.
• Directs analyses, root cause identification and development and recommendation of key work products.
• Applies advanced knowledge of the business, its products and processes and integrates potential services to achieve business goals.
• Negotiates agreements, settle disputes equitably and diffuses high-tension situations.
• Defines and maintains multi-million dollar high-risk program strategies based on business demand and ROI expectations.
• Negotiates program tradeoffs with IT and the business as the program develops to ensure alignment of demand to capacity.
• Holds responsibility for developing a multi-year business plan to deliver business capabilities and define execution approach to achieve a business goal while reducing risk and delivering early business value wherever possible.
• Facilitates meetings with senior executive management project sponsors to define solutions.
• Mentors Program Managers in developing business strategies, identifying benefits and defining alternatives across departmental programs and across Organizational programs, as necessary.
• Maintain varied databases, developing standardized data collection methods.
• Assist with data entry and report creation
• Raw data extraction and generation of analytical data sets from multiple databases, performing relevant statistical analysis

Skills on Resume: 

• Integrated Solutions Development (Hard Skills)
• Root Cause Analysis (Hard Skills)
• Business Process Integration (Hard Skills)
• Conflict Resolution (Soft Skills)
• Program Strategy Definition (Hard Skills)
• Demand and Capacity Alignment (Hard Skills)
• Business Planning (Hard Skills)
• Statistical Analysis (Hard Skills)

Job Summary:

• Collecting, reporting and analyzing Customer sell out data and Customer Metrics/KPIs
• Translating data to actionable insight
• Sharing regularly and transparently data insights to commercial and brand teams to influence promotional and marketing plans
• Evaluation of ROI of promotions across key clients and key brands
• Setting up strong relationships with Customer Data teams
• Able to build automated dashboards on reporting platforms such as PowerBI
• Able to respond to ad-hoc queries and translate into business opportunities
• Work with Google Cloud platform, Google Big Query, AI platform and Data flow
• Manage business and digital marketing data
• Assuring data quality through using QA, including maintaining accurate documentation of database development, extraction, query generation, and data cleaning
• Extract data in support of various reporting processes from different systems
• Performing other ad hoc data management activities and reports

Skills on Resume:  

• Data Analysis and Reporting (Hard Skills)
• Actionable Insights Generation (Hard Skills)
• Cross-Functional Collaboration (Soft Skills)
• ROI Evaluation (Hard Skills)
• Automated Dashboard Development (Hard Skills)
• Cloud Data Management (Hard Skills)
• Data Quality Assurance (Hard Skills)
• Ad-Hoc Data Management (Hard Skills)

Job Summary:

• Responsible for setting the direction for the Data platform and growing the team that delivers on the direction.
• Lead a team of talented Data Engineers of various experience levels owning the overall Data Analytics platform, tooling and pipelines for Capsule.
• Partner with the Capsule’s Insights team to identify analytics and reporting requirements across various business units within Capsule
• Work with the Data team to design, develop and maintain a reliable and scalable Data architecture.
• Collaborate closely with the other engineering teams to bring data into the warehouse in a timely manner.
• Maintain the Data team’s roadmap based on the business requirements and platform improvements.
• Perform 25% - 50% hands-on technical work, whether it is stories on the sprint to help accelerate the team or prototype new ideas so they can better guide the team.
• Conduct regular 1-1s with direct reports, have career conversations and be responsible for the overall health & engagement of the team.
• Contribute to larger organizational initiatives such as Engineering offsites, Engineering All-Hands, Engineering Hiring Processes - Interviews, Debriefs, Candidate calls, etc.
• Build the data team readiness for providing infrastructure and services around Machine Learning and Data Science functions.
• Managing a highly technical data engineering team.

Skills on Resume: 

• Data Platform Leadership (Hard Skills)
• Team Management (Soft Skills)
• Data Architecture Design (Hard Skills)
• Cross-Functional Collaboration (Soft Skills)
• Technical Prototyping (Hard Skills)
• Roadmap Development (Hard Skills)
• Performance Management (Soft Skills)
• Machine Learning Readiness (Hard Skills)

Job Summary:

• VAN management, reporting or data visualization, expertise in Excel or Google Sheets, SQL or another relational database,
• Supports the data-driven programming and goals of SMEF, particularly in the areas of organizing and partnership. 
• Works closely with the product manager and organizing team to offer organizational analytics  
• Makes recommendations on who to engage and how best to engage them to reach the goals of SMEF based on what actions supporters are willing to take so we can direct the program online and on the ground.
• Develops reporting systems to track volunteer engagement, direct target contact, and member engagement event turnout.
• Leads and trains other team members on best data practices for the following databases and tools such as EveryAction, VAN/Targetsmart, Mobilize, Zoom, Thrutext, and Team. 
• Works with the organizing team to set up and facilitate the back end for national virtual actions - text banking, phone banking, etc.
• Support state-based programming and staff in pulling universes and defining targets for voter contact.
• Ensure access to and training of the tools and best practices on data management across all platforms.
• Integrate a deep understanding of key racial equity concepts into work projects and interactions by addressing structural implications and disproportionate impacts of policies, activities, and decisions on race, class and other group identities within the context of job responsibilities and projects. 
• Commitment to the values of SMEF, most critically working with a workforce of all backgrounds, races, and ages, with sensitivity and appreciation for cultural differences.

Skills on Resume: 

• VAN Management (Hard Skills)
• Data Visualization (Hard Skills)
• SQL Proficiency (Hard Skills)
• Volunteer Engagement Tracking (Hard Skills)
• Data Training and Best Practices (Soft Skills)
• Target Universe Definition (Hard Skills)
• Racial Equity Integration (Soft Skills)
• Cross-Cultural Sensitivity (Soft Skills)

Job Summary:

• Building new tools, workflows, and scripts to make our processes more efficient
• Administering the tools and systems used by the data team and training the team on the tools
• Acting as the first-line troubleshooter for methodological issues
• Maintaining GSG's various voter databases and the processes we use to query them
• Owning relationships with external tools vendors and data providers
• Representing GSG in the progressive data community
• Potentially managing data team members
• Multiple cycles of experience in data roles with campaigns or political organizations
• Spent at least one of those cycles managing data infrastructure, including administering VAN or another voter file, owning a voter data pipeline, and/or owning reporting dashboards
• Assignments and access control compliance and activities
• Manages tickets and requests
• Performs routine checks for database accuracy

Skills on Resume: 

• Workflow Automation (Hard Skills)
• Tool Administration (Hard Skills)
• Troubleshooting Methodologies (Soft Skills)
• Voter Database Management (Hard Skills)
• Vendor Relationship Management (Soft Skills)
• Data Community Representation (Soft Skills)
• Data Infrastructure Management (Hard Skills)
• Database Accuracy Assurance (Hard Skills)