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Data Planning analyst Jobs

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Engineering Manager
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India , Chennai
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Comcast Advertising
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Business Data Analyst
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United Kingdom , Nottingham
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People Data Analyst
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United States , Atlanta
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84000.00 - 90000.00 USD / Year
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Impellam Group
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United States , Arlington, Virginia
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Tecolote Research
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Milsatcom architect and sme analyst support
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United States , Arlington
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Analyst, Sales Compensation
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Armenia , Yerevan
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ServiceTitan
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Senior Product Analyst
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Turkey
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SmartMessage
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Data Migration Analyst
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India , Bengaluru
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Analyst, Data Governance & Quality
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United Kingdom , London
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Brewin Dolphin
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Financial Analyst
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United States , Dublin
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45.00 - 50.00 USD / Hour
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Collabera
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Strategic Consultant
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United States , New York
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100000.00 - 120000.00 USD / Year
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Manager, FP&A
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United States
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112500.00 - 150000.00 USD / Year
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Mindbody
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Senior Data Engineer
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India , Hyderabad
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Strategic Consultant
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United Kingdom , London
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Optimove
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Head of Product Marketing
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United States , San Francisco
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281000.00 - 421000.00 USD / Year
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Mixpanel
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Azure Data Engineer
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Uzbekistan, Georgia
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LeverX
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IBP Lead Product Analyst
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India , Noida
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Applications Development Manager
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India , Pune
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Citi
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Power BI Consultant
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Portugal , Lisboa
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Embark on a rewarding career path by exploring Data Planning Analyst jobs, a pivotal role at the intersection of data, strategy, and business operations. These professionals are the architects of data-driven decision-making, transforming raw information into actionable plans that guide a company's future. If you possess a blend of analytical rigor and strategic foresight, a career as a Data Planning Analyst offers a dynamic and impactful opportunity. At its core, the profession involves designing and executing operational and strategic plans based on deep data analysis. Data Planning Analysts are responsible for the entire data lifecycle in a planning context. This typically includes collecting and consolidating complex data from various sources, cleaning and validating it for accuracy, and using advanced analytical techniques to identify trends, patterns, and forecasts. A significant part of their role is to define, track, and report on Key Performance Indicators (KPIs) and other critical business metrics. They create comprehensive dashboards and reports that provide a clear, real-time view of performance against company objectives, enabling leadership to make informed strategic choices. Common responsibilities for individuals in these jobs often extend beyond pure analysis. They frequently act as a bridge between technical teams and business stakeholders, translating data insights into understandable business terms and practical operational plans. This can involve assisting project and program leads in completing planning templates, developing business cases, and supporting budgeting and financial planning processes. They are instrumental in business transformation efforts, using data to identify opportunities for improvement and to measure the impact of new initiatives. Furthermore, senior analysts in this field may be tasked with mentoring junior staff, managing team performance, and driving the adoption of data analytics capabilities across different functional teams. To succeed in Data Planning Analyst jobs, a specific set of skills is essential. Technical proficiency is paramount, including advanced expertise in tools like Microsoft Excel (including Power Query and complex formulas), statistical software, and data visualization platforms such as Tableau or Power BI. Experience with data consolidation and modeling is a common requirement. Beyond technical acumen, these roles demand strong problem-solving abilities to interpret complex data and provide actionable recommendations. Excellent communication and interpersonal skills are crucial for presenting findings to non-technical audiences and collaborating effectively across departments. A solid understanding of business operations, financial planning, and strategic management principles is what separates a good analyst from a great one. For those with this powerful combination of skills, Data Planning Analyst jobs represent a critical and valued function in the modern, data-centric enterprise.

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