Twoconnect
Retail
DataAnalyst(PowerBI)-WorkFromHome/Dayshift
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“Data Analyst (Power BI) - Work From Home / Dayshift at Twoconnect. Skills: Power BI, SQL, Data Analysis, Reporting. Develop, maintain, and enhance Power BI dashboards and reports. Extract, clean, and transform data from ERP systems and other sources”
What You'll Achieve.
deliver accurate, commercially meaningful insights to support business decisions; enhance overall reporting and data management capabilities; deliver commercially meaningful insights and reporting solutions
Industry & Context.
problem-solving; Identify and resolve data inconsistencies
Work from home, Monday to Friday 7AM to 4PM PHT (adjustments will be made for daylight saving time)
What They're Looking For.
Must Have
Bachelor’s degree in Data Analytics, Information Systems, Computer Science, Business, or a related field, 3–6 years of experience in Data Analytics, Business Intelligence, or similar reporting-focused roles, hands-on experience with Power BI, including dashboard creation, reporting, and data visualisation, Experience with SQL, data extraction, transformation, modelling, and working with ERP or large structured data environments, Ability to analyse data, identify inconsistencies, and deliver commercially meaningful insights to stakeholders, communication, problem-solving, and stakeholder management skills, with the ability to work independently in fast-paced environments
Nice to Have
Exposure to cloud-based data environments (e. g. AWS), pricing or sales analysis, data governance or PIM systems
What You'll Do.
and enhance Power BI dashboards and reports
and transform data from ERP systems and other sources
Rebuild and stabilise reporting processes
Identify and resolve data inconsistencies
Collaborate with leadership and operational teams to deliver commercially meaningful insights and reporting solutions
Support data migration
cloud transition initiatives
and improvements to data pipelines and structures
Assist with ad hoc reporting
and ongoing business intelligence initiatives
How You'll Work.
Team & Collaboration
collaborating closely with stakeholders; Collaborate with leadership and operational teams
Communication Scope
communication; stakeholder management
Full Job Description
We are seeking a Power BI Developer / Data Analyst to develop and maintain dashboards, transform and analyse ERP data, and deliver accurate, commercially meaningful insights to support business decisions. The role involves improving reporting processes, resolving data inconsistencies, supporting cloud and data migration initiatives, and collaborating closely with stakeholders to enhance overall reporting and data management capabilities. * Develop, maintain, and enhance Power BI dashboards and reports to support business decision-making. * Extract, clean, and transform data from ERP systems and other sources for reporting and analysis. * Rebuild and stabilise reporting processes to improve reliability, accuracy, and continuity. * Identify and resolve data inconsistencies while ensuring data integrity across reporting outputs. * Collaborate with leadership and operational teams to deliver commercially meaningful insights and reporting solutions. * Support data migration, cloud transition initiatives, and improvements to data pipelines and structures. * Assist with ad hoc reporting, pricing analysis, data governance, and ongoing business intelligence initiatives. **Requirements** * Bachelor’s degree in Data Analytics, Information Systems, Computer Science, Business, or a related field. * 3–6 years of experience in Data Analytics, Business Intelligence, or similar reporting-focused roles. * Strong hands-on experience with Power BI, including dashboard creation, reporting, and data visualisation. * Experience with SQL, data extraction, transformation, modelling, and working with ERP or large structured data environments. * Ability to analyse data, identify inconsistencies, and deliver commercially meaningful insights to stakeholders. * Strong communication, problem-solving, and stakeholder management skills, with the ability to work independently in fast-paced environments. * Exposure to cloud-based data environments (e.g. AWS), pricing or sales analysis, and data gover
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