Business Intelligence Data Consultant I
At a glance
Mid-level Data Analysis & BI role at RELX. PHL-RE Shared Services-Manila · full-time.
Pay not stated Data Analysis & BI salary
dataroles summary, based on the employer's posting.
What you'll do
- Pull information from Essbase and PowerBI, then check figures across the two sources
- Prepare reports and studies for customers and sales representatives, responding to sellers’ questions
- Run coverage statistics, field-population counts and data profiles for different audiences
- Document data mappings and quality thresholds, and investigate and report data issues
- Review reports for accuracy, coordinate needed corrections and meet delivery and quality targets
What you bring
- A bachelor’s degree is required for this role
- You can use PowerBI at an end-user level and work confidently with Microsoft Office
- You understand how online panel research differs from other forms of online quantitative research
- You bring careful analytical judgment and can identify errors, gaps and trends in data
Who this fits
This role suits someone who can handle data checks and analysis while following set quality and operating procedures. You’ll work with a collaborative team and escalate issues to a supervisor or business-unit counterpart when needed.
From the employer
The Business Intelligence Data Consultant I works with REPH DRV AD and DRV Actionable data (Alpharetta) team in creating and completing Reports and Studies for our Customers (Carriers) and Sales Reps base from the following sources: DB360 Blindspot report, ADRC, Harnessing the power of DB360 report.
Core tasks are composed of (but not limited to): Pulling data from Essbase, Responding and reacting to Sellers requests and queries, pulling data from and to PowerBI dashboard, Peer to peer audit and ensuring that reports are submitted on a timely manner.
Accountabilities:
Core Responsibilities
- Data Extraction, Data validation from Essbase vs PowerBI dashboard Data.
- Business support through data analysis and research.
- Independently run data statistics, including coverage stats, field populations, etc.
- Run data profiles.
- Complete new data evaluations for diverse audiences.
- Create data documentation including mappings and quality thresholds.
- Investigate, track, and report data issues.
- Conducts data review and verification and ensures corrections/clarifications are made in a timely manner.
- Provide clear documentation for data and processes performed.
Process Improvement & Best Practices
- Communicate information effectively through written statements or suggestions.
- Assist in enhancing methodologies for test planning, execution, defect tracking, and reporting.
- Participate in Operational Excellence (OPEX) initiatives.
Compliance & Quality Assurance
- Support process improvement and compliance initiatives to ensure consistent delivery of high-quality products.
- Adhere to QA and Operation standards and procedures to maintain quality benchmarks.
- Escalate issues and decisions to Supervisor or BU counterpart when necessary.
- Meet key performance indicators (KPIs) related to 50 accounts accuracy, task completion, and adherence Quality standards and timeliness.
Flexibility & Adaptability
- Perform other duties as assigned, demonstrating adaptability in a dynamic and fast-paced environment.
- Show initiative in learning new tools, systems, and processes to support team goals.
Qualifications:
Bachelor's Degree holder
- Any professional data qualification/accreditation is preferred but not required – Python,
- Able to demonstrate a nuanced understanding and experience of the difference between online panel research and other types of online quantitative research.
Insurance knowledge or industry experience a plus
Proficient in Microsoft Office
Analytical and creative thinking while adhering to established process guidelines
Strong attention to detail with the ability to spot discrepancies, missing information, errors, trends and areas of concern
Proficient knowledge in computer, operating systems, basic programming and testing concepts
PowerBi technical knowledge (end-user capability).
Proficiency with various data types and formats including, but not limited to: XML, flat files, delimited, etc.
Proficiency with development languages such as SQL, UNIX, Linux, XML, HPCC, etc. a plus
Flexibility and adaptability to changes in workloads, requirements and stakeholder or management direction
Work in collaborative environment
Must not have any pending/ active disciplinary action, attendance, and performance issues in the past 12 months for internal applicants
Ability to quickly learn and apply enterprise AI tools and technologies to support technical workflows and business objectives.
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