
Bate, Business Intelligence Specialist
24 hours ago
Job Postings Overview
Multiple postings for Data Visualization, BI, and Analytics roles across various teams. Responsibilities typically include building and maintaining dashboards, data models, and reports using Power BI, SQL, R/Python, and related BI tools; collaborating with business users and IT teams; ensuring data quality and governance; and contributing to automation and data visualization initiatives. Qualifications frequently require experience with SQL, Power BI, data modeling, DAX/Power Query, and familiarity with SSRS/SSIS, Excel, and sometimes R/Python. Some listings specify remote/hybrid work, shift details, and on-site requirements.
Senior Data Visualization Expert / BI LeadQualifications
• Bachelor of Science in IT or equivalent; 3+ years of experience; background in data warehouse design (dimensional modeling) and data mining; understanding of DBMS, OLAP and ETL; familiarity with BI technologies (Power BI, Oracle BI); knowledge of SQL queries, SSRS and SSIS; basic to intermediate Excel skills; initiative and innovation; analytical problem-solving; degree in Computer Science, Engineering or related field.
Responsibilities
• Translate business needs to technical specifications; design, build and deploy BI solutions; maintain dashboards and data analytics platforms; create data tools; conduct unit testing and troubleshooting; evaluate and improve BI systems; collaborate with teams to integrate systems; assist other project teams; develop and update technical documentation.
Work setup: Work from home with occasional onsite visits (quarterly or none). Shift: Morning.
Posted 1 day ago.
Overview
The role focuses on supporting Strategic Analytics with dashboards in Power BI, R/Python, and other visualization tools; working with business users, data engineers, and data scientists to provide customized visualizations; building data models; creating SQL scripts; developing reports; and automating tasks. Preference for geomapping visuals and Paginated reports; experience in Power BI Report Builder or SSRS; familiarity with Power Apps, Power Automate, and embedding BI solutions.
Responsibilities
- Develop dashboards from wireframes in Power BI; build complex data models; develop SQL scripts to pull data from SQL Server, Azure, Snowflake; create pixel-perfect reports; build and integrate Power Apps with Power BI; automate manual tasks; explore marketplace visuals; regression testing; manage user licenses; troubleshoot VBA; monitor script outputs.
Required Skills/Experience
- SQL, Power BI, Visualization Software experience; SSRS, Power Apps, Excel VBA scripting; R/Python experience; building and supporting BI apps; modeling with Power BI; Power Query and DAX understanding; basic troubleshooting and log/root-cause analysis; ability to coordinate with IT teams; user-facing change requests; geomapping visualization experience preferred; Paginated reports experience preferred; BI in embedded capacity or web tech know-how helpful; Power Automate experience; maintain dashboards and add features; strong communication and cross-team collaboration; willingness to explore new tools per SA guidance.
Posted 1 day ago
AGSI / Arch Strategic Analytics – Data Visualization FocusOverview
Role involves creating dashboards and analytics for Strategic Analytics team; Power BI, R/Python visuals; automation; collaboration with data engineers/scientists; user-friendly visualizations to uncover actionable insights.
Responsibilities
- Develop dashboards in Power BI; build data models; develop SQL scripts to pull data (SQL Server, Azure, Snowflake); create pixel-perfect reports; build and support Power Apps integrated with Power BI; automate manual tasks; explore marketplace visuals; regression testing; user license management; VBA script troubleshooting; monitor outputs; escalations as needed.
Qualifications
- Experience in SQL, Power BI; ability to design data models; Power Query and DAX understanding; Paginated reports and SSRS familiarity; Power Automate; ability to maintain dashboards; strong communication; geomapping visuals preferred; intermediate BI embedding experience; AWS experience a plus.
Additional Information: BS in Computer Science/IT/Data Analytics or equivalent. Location: Taguig, Philippines. Salary and benefits noted as provided.
Director – Data Analysis (Python)Overview
Director-level role focusing on validating enterprise analytical tools, managing validation projects, assessing methodologies/risks/applications, and communicating findings. Requires Python for automation/testing/prototyping. Mentors junior staff and collaborates to design innovative solutions.
Qualifications
- Bachelor’s in Finance, Economics, Statistics, CS, Mathematics, Engineering, or related field (Master’s preferred).
- Strong Python for automation/testing/prototyping; knowledge of analytical tools, quantitative models, risk assessment; excellent communication and documentation skills; problem-solving and process-improvement track record.
Be the First To Know and related notices are included in the posting materials.
Professional Analyst, Data AnalysisSummary
- Role to leverage analytics and technical skills to build and maintain data solutions; real-time risk management dashboards; lead multiple projects; apply advanced visualization and automation.
Responsibilities
- Open source/digital mining of data; build self-service data tools; explore new technologies; translate business needs to design and develop tools, metrics, dashboards for insights; drive analysis for business strategies; manage data quality, metadata, lineage.
- Collaborate with Tech teams to manage data security and governance; monitor data quality; communicate findings via reports and stakeholder discussions.
Qualifications
- Bachelor’s in quantitative field; 5+ years data analytics; 3+ years scripting; 3+ years BI visualization; experience with AWS; willing to night/hybrid shifts and location in Alabang; preferred Master’s degree and 4+ years Python/R/Spark/SQL; process management experience; leadership experience.
Security and compliance: Includes equal opportunity statements and accommodations language typical of large employers; no agencies.
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