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The Customer Data Intelligence Analyst at Washington Gas will analyze data and create reports and dashboards to support Billing, Collections, Marketing, and Customer Service. The role involves collaborating with IT teams, business units, and senior leadership to improve operational efficiency through data insights and ensuring data integrity across various systems.
The Senior Data Analyst will leverage data analysis and business intelligence to produce actionable insights across marketing and product domains. Responsibilities include creating dashboards, optimizing ad performance, improving data processes, and simplifying complex data for stakeholders.
The Senior Data Analyst will lead data management activities, mentor junior analysts, manage data quality, and establish master data governance. Responsibilities include collaborating with teams to implement data standards, driving data validation activities, and maintaining thorough documentation of processes.
The Senior Data Quality Analyst will drive data quality activities, mentor junior analysts, manage data issues, and develop data quality standards. The role involves collaboration with multiple teams to improve master data and ensure compliance with data privacy regulations while overseeing automation and workflow integration.
The Junior Data Analyst will assist in data management activities for a federal SAP S/4 HANA modernization effort, supporting documentation, data validation, and governance policies to ensure data quality and compliance.
Seeking an experienced Senior Data Analyst with a passion for numbers and marketing to join the Data Analytics and Business Operations team. Responsible for manipulating large data sets, reporting on KPI metrics, sharing insights about marketing efficiency, and advising on marketing data collection within systems.
The Senior Data Analyst will optimize ad spending, compute performance metrics for Walmart ads, and build insightful dashboards using tools like Tableau and Google Data Studio. Responsibilities include utilizing ETL pipelines, statistical modeling, and big data technologies like Hadoop and Spark to analyze large datasets and improve program performance, while delivering marketing signals for AI models and ensuring data accuracy through validation and discrepancy identification.
The Senior Data Analyst/Steward will lead data governance efforts, manage critical data projects, maintain data documentation, and ensure data quality while creating impactful reports and dashboards. This role emphasizes collaboration across departments to align data processes with business needs.
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The Senior Product Analyst will develop and implement data enrichment features to enhance software products, working with billions of records to ensure data accuracy and relevancy. They will translate user feedback into functional specifications, set acceptance criteria for quality assurance, and guide rigorous data models to exceed customer expectations and drive insights.
The Senior Data Analyst will join the Insights and Analytics team at 2K, developing data-informed strategies to drive decisions related to player engagement and live services. Responsibilities include collaborating with data engineers and product teams, analyzing telemetry and feedback data, creating automated reports, and defining metrics for business reporting.
The Senior Data Analytics Auditor will provide data analytics support to the Internal Audit department. Responsibilities include performing data analytics using tools like CAAT, Tableau, and Python, documenting technical materials for non-technical audiences, and developing automated tools for efficiency. The role involves collaboration with management and monitoring data quality for regulatory compliance.
The Senior Analyst, Master Data Management will perform detailed quality analysis, assist in developing recommendations for data quality processes, and enforce governed policies for managing data. Responsibilities include monitoring data quality metrics, ensuring compliance with security regulations, and collaborating with various departments.
Collaborate with business users to support process automations, build end-user dashboards, create reporting, and provide support for strategic expansion roadmaps in the Credit/AR organization. Utilize Process Query Language (PQL) for analytical formulas and data querying within Celonis. Document and track automation development, support vendor relationships, and optimize processes for efficiency and value creation.
As a Senior HRIS and Data Reporting Analyst at Wpromote, you'll analyze data and transform it into actionable insights to support people-related decision-making. Responsibilities include managing HRIS accuracy, reporting and delivering insights to aid strategic initiatives while enjoying a remote-first work culture.
The Senior Business Intelligence Analyst role at Klaviyo involves analyzing data to drive business decisions, building models, and presenting findings to key stakeholders. Responsibilities include maintaining data environments, performing hypothesis testing, creating analysis frameworks, and contributing to predictive models. The ideal candidate should possess a quantitative background and strong analytical skills.
As a Senior Data Analyst at the Wikimedia Foundation, you will analyze global fundraising campaigns, develop KPIs, provide insights on fundraising strategies, support A/B testing, and ensure data quality. You will collaborate with various teams to enhance data-driven decision-making and improve the donor experience.
As a Senior Data Analyst at Gravie, you will analyze qualitative and quantitative data to enhance the company's healthcare solutions. You will provide insights on business performance, identify opportunities, conduct diverse analyses, and communicate findings to stakeholders while fostering a culture of data-driven decision-making.
As a Senior Data Analyst at Privacy.com, you will own analytics for the consumer business, produce insights for stakeholders, develop data models, partner with customer experience teams, and design A/B tests to enhance user experience.
As a Senior Data Analyst at Trainual, you will transform complex data into actionable insights for the product team. Your role involves data collection, analysis, and creating reports and dashboards for stakeholders, while managing projects and driving strategic initiatives.
The Lead Data Privacy Analyst will manage compliance with U.S. privacy laws, conduct privacy assessments, and collaborate with various teams to enhance data privacy practices and training within the organization.
The Senior Associate, ALM Analytics is responsible for developing quantitative techniques for evaluating investments, assisting in model development for portfolio construction, preparing analysis for investment opportunities, and collaborating with risk management on analysis for existing portfolios and new opportunities.
As a Target Digital Network Analyst, you will analyze collection and open-source data, maintain databases, identify intelligence gaps, and collaborate with teams to develop insights. Your role involves utilizing various analysis techniques and documenting findings for stakeholders.
As an Analytics Lead at Scale, you will develop analytical frameworks to tackle complex business challenges, translate data analysis into actionable insights, and ensure effective decision-making across the company. You will collaborate with multiple departments to define metrics, drive operational efficiencies, and synthesize competitive insights to enhance business performance.
Summarize findings for logical presentation, develop & maintain databases, analyze complex data, fulfill ad hoc data requests accurately, collaborate with business contacts, proficient in Microsoft Office, strong communication skills, attention to detail, problem-solving capabilities, ability to work independently and meet deadlines.
This role involves creating business insights through analytics, leading cross-functional teams, designing and producing datasets and reports, and analyzing complex business problems to provide strategic insights. It requires collaboration with both business and divisional data teams and customer engagement to meet business needs.
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