

Keansa Solutions - Global
Keansa - Senior Anaplan Data Analyst - Remote
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a "Senior Anaplan Data Analyst" with a contract length of "unknown" and a pay rate of "unknown." It is remote, requiring 4–7 years of experience in data analysis, proficiency in SQL, and familiarity with EPM tools like Anaplan.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
November 12, 2025
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
-
🔒 - Security
Unknown
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📍 - Location detailed
United States
-
🧠 - Skills detailed
#Data Security #"ETL (Extract #Transform #Load)" #SQL (Structured Query Language) #CRM (Customer Relationship Management) #Microsoft Power BI #Compliance #Databases #BI (Business Intelligence) #Computer Science #Dataflow #Scripting #Forecasting #Deployment #Security #Database Design #ADaM (Analysis Data Model) #Data Quality #Scala #Database Management #Data Governance #AI (Artificial Intelligence) #Data Integration #Data Analysis #Oracle #Data Modeling #Documentation
Role description
Data Analyst – Enterprise Performance Management (EPM)
Summary:
At Keansa, we help enterprises modernize their planning, budgeting, and analytics ecosystems using leading EPM platforms such as Jedox, OneStream, Anaplan, and Oracle EPM.
As a Data Analyst – EPM, you will play a key role in designing, optimizing, and maintaining data models that drive financial and operational planning. You’ll ensure the integrity, availability, and performance of enterprise data systems that power business insights and decision-making.
Key Responsibilities:
• Collaborate with FP&A, Finance, and Operations teams to translate business requirements into scalable data models and analytical solutions within EPM platforms.
• Design, test, and implement database structures that support planning, forecasting, and consolidation processes.
• Review existing databases and ETL pipelines, recommending optimizations for performance, data quality, and governance.
• Coordinate database and data-flow changes across implementation projects, ensuring alignment with overall EPM architecture.
• Partner with Solution Architects to define data integration strategies between ERP, CRM, and EPM systems.
• Establish and maintain security standards and access controls to safeguard sensitive financial and operational data.
• Develop and enforce best practices, documentation, and guidelines for data usage, transformation, and management.
• Support testing, validation, and deployment of new features, reports, and analytical models across client environments.
Skills & Qualifications:
• 4–7 years of total experience in data analysis, data modeling, or database management, preferably supporting EPM or FP&A systems.
• Strong verbal and written communication, analytical, and problem-solving skills.
• Proven ability to work independently while collaborating in cross-functional teams.
• Demonstrated experience in database design, optimization, and data governance.
• Proficiency in SQL (4+ years of hands-on experience).
• Familiarity with EPM, FP&A, or BI tools such as Jedox, OneStream, Anaplan, Oracle EPM, or Power BI preferred.
• Working knowledge of data integration (ETL), scripting, or APIs a plus.
• Strong understanding of data security, access control, and compliance frameworks.
• Bachelor’s degree in Computer Science, Information Systems, or related field.
Preferred Attributes:
• Exposure to finance, supply chain, or operational analytics.
• Experience supporting or implementing planning, budgeting, and forecasting systems.
• Interest in emerging technologies around AI-driven financial planning and predictive analytics.
Data Analyst – Enterprise Performance Management (EPM)
Summary:
At Keansa, we help enterprises modernize their planning, budgeting, and analytics ecosystems using leading EPM platforms such as Jedox, OneStream, Anaplan, and Oracle EPM.
As a Data Analyst – EPM, you will play a key role in designing, optimizing, and maintaining data models that drive financial and operational planning. You’ll ensure the integrity, availability, and performance of enterprise data systems that power business insights and decision-making.
Key Responsibilities:
• Collaborate with FP&A, Finance, and Operations teams to translate business requirements into scalable data models and analytical solutions within EPM platforms.
• Design, test, and implement database structures that support planning, forecasting, and consolidation processes.
• Review existing databases and ETL pipelines, recommending optimizations for performance, data quality, and governance.
• Coordinate database and data-flow changes across implementation projects, ensuring alignment with overall EPM architecture.
• Partner with Solution Architects to define data integration strategies between ERP, CRM, and EPM systems.
• Establish and maintain security standards and access controls to safeguard sensitive financial and operational data.
• Develop and enforce best practices, documentation, and guidelines for data usage, transformation, and management.
• Support testing, validation, and deployment of new features, reports, and analytical models across client environments.
Skills & Qualifications:
• 4–7 years of total experience in data analysis, data modeling, or database management, preferably supporting EPM or FP&A systems.
• Strong verbal and written communication, analytical, and problem-solving skills.
• Proven ability to work independently while collaborating in cross-functional teams.
• Demonstrated experience in database design, optimization, and data governance.
• Proficiency in SQL (4+ years of hands-on experience).
• Familiarity with EPM, FP&A, or BI tools such as Jedox, OneStream, Anaplan, Oracle EPM, or Power BI preferred.
• Working knowledge of data integration (ETL), scripting, or APIs a plus.
• Strong understanding of data security, access control, and compliance frameworks.
• Bachelor’s degree in Computer Science, Information Systems, or related field.
Preferred Attributes:
• Exposure to finance, supply chain, or operational analytics.
• Experience supporting or implementing planning, budgeting, and forecasting systems.
• Interest in emerging technologies around AI-driven financial planning and predictive analytics.






