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āļāļĩāđāļĄāļĩāļāļģāļ§āđāļē SAS
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āļāļąāļāđāļŦāļĨāļāđāļĢāļāļđāđāļĄāđāļāļāļāļāļļāļ AI āļāļāļāđāļĢāļēāļāļ°āļ§āļīāđāļāļĢāļēāļ°āļŦāđāđāļĨāļ°āđāļāļ°āļāļģāļāļģāđāļŦāļāđāļāļāļēāļāļāļĩāđāļāļĩāļāļĩāđāļŠāļļāļāđāļŦāđāļāļļāļ
āļāļēāļāļāļē, āļāļĢāļļāļāđāļāļ, āļāļąāļāļ§āļīāđāļāļĢāļēāļ°āļŦāđ
,āļāļēāļāļāļļāļĢāļāļēāļĢ
āļāļąāļāļ§āļīāđāļāļĢāļēāļ°āļŦāđ,āļāļēāļāļāļļāļĢāļāļēāļĢ
āļāļąāļāļĐāļ°:
Statistics, SQL, SAS
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Support the preparation and distribution of daily, weekly, and monthly business reports for the Collections Department.
- Assist in maintaining and updating regular and ad-hoc reports to ensure data accuracy and reporting consistency.
- Support data extraction, consolidation, and validation activities from multiple data sources.
- Perform report administration tasks including scheduling, report tracking, and documentation management.
- Coordinate with internal stakeholders to collect reporting requirements and follow up on business requests.
- Assist in maintaining automated reporting processes and support continuous improvement initiatives.
- Prepare basic dashboards and data visualizations to support operational monitoring and performance tracking.
- Support performance reporting for collectors, including report preparation and data compilation.
- Maintain reporting templates, standard operating procedures (SOPs), and reporting documentation.
- Assist the MIS team in investigating data discrepancies and supporting issue resolution.
- Support incentive calculation preparation and administrative activities for Collections programs.
- Perform other administrative and reporting support duties assigned by the team.
- QualificationsBachelor s degree in Business Administration, Information Systems, Computer Science, Statistics, or related fields.
- 1-3 years of experience in MIS Support, Reporting Support, Data Administration, Business Support, or related functions.
- Familiarity with reporting tools and databases such as SQL, SAS, Power BI, Tableau, Microsoft Access, and Excel.
- Strong Excel skills (Pivot Table, VLOOKUP/XLOOKUP, data cleansing).
- Basic understanding of data reporting, dashboard preparation, and data validation.
- Good coordination and communication skills with cross-functional teams.
- Detail-oriented with strong organizational and time management skills.
- Ability to manage repetitive operational tasks while maintaining accuracy.
āļ§āļąāļāļāļĩāđ
āļāļđāđāļāļīāđāļĄāđāļāļīāļĄkeyboard_arrow_down
āļāļąāļāļāļķāļ
āļĒāļāđāļĨāļīāļ
āļŦāđāļ§āļĒāļāļ§āļēāļ, āļāļĢāļļāļāđāļāļ, āļāļąāļāļ§āļīāđāļāļĢāļēāļ°āļŦāđ
,āļāļĨāļĒāļļāļāļāđ / āļ§āļēāļāđāļāļ
āļāļąāļāļ§āļīāđāļāļĢāļēāļ°āļŦāđ,āļāļĨāļĒāļļāļāļāđ / āļ§āļēāļāđāļāļ
āļāļąāļāļĐāļ°:
SQL, Python, SAS
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Manage and plan the data direction and strategy for business need.
- Drive successful of data insight initiatives and effective collaboration with stakeholders.
- Analyze business requirements and identify business problems into an analytics question and gain a deep understanding of models and algorithms capability and limitations.
- Create reports and dashboards based on data mining, evaluation, analysis, and visualization.
- Collaborate with key stakeholders including the Executive, Business Units, Data and IT teams to identify opportunities for leveraging company data to drive business solutions.
- Coordinate with the software developers, data engineers and data scientists to oversee the delivery of analytics solutions and formulate strategy for technology adoption and impact measurement.
- 5 years of experience as a data analyst or business data analyst.
- Advanced knowledge in SQL and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
- Experience with data studio, Big Query.
- Experience with R, Python, SAS, SPSS, other analytic tools.
- Experience supporting and working with cross-functional teams in a dynamic environment..
1 āļ§āļąāļāļāļĩāđāļāđāļēāļāļĄāļē
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āļĒāļāđāļĨāļīāļ
āļŠāđāļāđāļāđāļāđāļāļ·āļāļāļāļēāļāđāļŦāļĄāđāļĨāđāļēāļŠāļļāļāļŠāļģāļŦāļĢāļąāļSAS
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āļĨāļāļāļāļģ 5 āļŠāļīāđāļāļāļĩāđāļŦāļĨāļąāļāđāļĨāļīāļāļāļēāļ āļāļĩāļ§āļīāļāļāļļāļāļāļ°āđāļāļĨāļĩāđāļĒāļāđāļāļāļĨāļāļāļāļēāļĨ
āļāļģāđāļāļ°āļāļģāļāđāļēāļāļāļēāļāļĩāļāļāļĢāļīāļĐāļąāļ 7 āđāļāļāļāļĩāđāļāļļāļāđāļĄāđāļāļ§āļĢāļāļģāļāļēāļāļāđāļ§āļĒ
āļāļģāđāļāļ°āļāļģāļāļēāļĢāļŦāļēāļāļēāļāđāļāļīāļāđāļāļĨāļŠāļļāļāļĒāļāļ 50 āļāļĢāļīāļĐāļąāļāļāļĩāđāļāļāļĢāļļāđāļāđāļŦāļĄāđāļāļĒāļēāļāļĢāđāļ§āļĄāļāļēāļāļāđāļ§āļĒāļĄāļēāļāļāļĩāđāļŠāļļāļ 2026
āļāđāļēāļ§āļŠāļēāļĢāđāļŦāļĄāđāđ
