āđ€āļ‡āļ·āđˆāļ­āļ™āđ„āļ‚āļāļēāļĢāļ„āđ‰āļ™āļŦāļē

āļ„āđ‰āļ™āļŦāļēāđ‚āļ”āļĒāđƒāļŠāđ‰āļ„āļģāļŦāļĨāļąāļ

āļ„āđ‰āļ™āļŦāļēāđ‚āļ”āļĒāļŦāļĄāļ§āļ”āļŦāļĄāļđāđˆāļ‡āļēāļ™

āđ€āļĨāļ·āļ­āļāļŦāļĄāļ§āļ”āļŦāļĄāļđāđˆāļ‡āļēāļ™

āļ„āđ‰āļ™āļŦāļēāđ‚āļ”āļĒāļ›āļĢāļ°āđ€āļ āļ—āļ˜āļļāļĢāļāļīāļˆ

āđ€āļĨāļ·āļ­āļāļ›āļĢāļ°āđ€āļ āļ—āļ˜āļļāļĢāļāļīāļˆ

āļ„āđ‰āļ™āļŦāļēāđ‚āļ”āļĒāļŠāđˆāļ§āļ‡āđ€āļ‡āļīāļ™āđ€āļ”āļ·āļ­āļ™

āļ•āļąāđ‰āļ‡āđāļ•āđˆ
āļ–āļķāļ‡

āļ„āđ‰āļ™āļŦāļēāđ‚āļ”āļĒāļŠāļ·āđˆāļ­āļšāļĢāļīāļĐāļąāļ—

āļžāļīāļĄāļžāđŒāļŠāļ·āđˆāļ­āļšāļĢāļīāļĐāļąāļ—

āļ„āđ‰āļ™āļŦāļēāđ‚āļ”āļĒāļĢāļ°āļ”āļąāļšāļ•āļģāđāļŦāļ™āđˆāļ‡āļ‡āļēāļ™

āļ„āđ‰āļ™āļŦāļēāđ‚āļ”āļĒāļ›āļĢāļ°āđ€āļ āļ—āļ‡āļēāļ™

āđāļŠāļ”āļ‡āļœāļĨ 1 - 20 āļ•āļģāđāļŦāļ™āđˆāļ‡āļ‡āļēāļ™ āļˆāļēāļāļ—āļąāđ‰āļ‡āļŦāļĄāļ” 116 āļ•āļģāđāļŦāļ™āđˆāļ‡āļ‡āļēāļ™
āļ—āļĩāđˆāļĄāļĩāļ„āļģāļ§āđˆāļē āļœāļđāđ‰āđ€āļŠāļĩāđˆāļĒāļ§āļŠāļēāļāļ”āđ‰āļēāļ™āļ‚āđ‰āļ­āļĄāļđāļĨ
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āļ­āļąāļžāđ‚āļŦāļĨāļ”āđ€āļĢāļ‹āļđāđ€āļĄāđˆāļ‚āļ­āļ‡āļ„āļļāļ“ AI āļ‚āļ­āļ‡āđ€āļĢāļēāļˆāļ°āļ§āļīāđ€āļ„āļĢāļēāļ°āļŦāđŒāđāļĨāļ°āđāļ™āļ°āļ™āļģāļ•āļģāđāļŦāļ™āđˆāļ‡āļ‡āļēāļ™āļ—āļĩāđˆāļ”āļĩāļ—āļĩāđˆāļŠāļļāļ”āđƒāļŦāđ‰āļ„āļļāļ“
āļŦāļēāļ‡āļēāļ™ āļŠāļĄāļąāļ„āļĢāļ‡āļēāļ™ āđ„āļĄāđ‚āļ„āļĢāļ‹āļ­āļŸāļ—āđŒ 1
āļŦāļēāļ‡āļēāļ™ āļŠāļĄāļąāļ„āļĢāļ‡āļēāļ™ āđ„āļĄāđ‚āļ„āļĢāļ‹āļ­āļŸāļ—āđŒ 1
āļāļĢāļļāļ‡āđ€āļ—āļž, āļšāļĢāļīāļŦāļēāļĢāļœāļĨāļīāļ•āļ āļąāļ“āļ‘āđŒ / āļšāļĢāļīāļŦāļēāļĢāđāļšāļĢāļ™āļ”āđŒāļŠāļīāļ™āļ„āđ‰āļē āļšāļĢāļīāļŦāļēāļĢāļœāļĨāļīāļ•āļ āļąāļ“āļ‘āđŒ / āļšāļĢāļīāļŦāļēāļĢāđāļšāļĢāļ™āļ”āđŒāļŠāļīāļ™āļ„āđ‰āļē

āļ›āļĢāļ°āļŠāļšāļāļēāļĢāļ“āđŒ:

6 āļ›āļĩāļ‚āļķāđ‰āļ™āđ„āļ›

āļ—āļąāļāļĐāļ°:

Industry trends, Java, PHP

āļ›āļĢāļ°āđ€āļ āļ—āļ‡āļēāļ™:

āļ‡āļēāļ™āļ›āļĢāļ°āļˆāļģ

āđ€āļ‡āļīāļ™āđ€āļ”āļ·āļ­āļ™:

āļŠāļēāļĄāļēāļĢāļ–āļ•āđˆāļ­āļĢāļ­āļ‡āđ„āļ”āđ‰

  • Customer First Mindset - Engage with and enable our customers and key decision-makers, delivering a connected customer engagement experience and driving customer satisfaction, through digital sales excellence, empowered by world-class data, marketing systems and platforms.
  • Be the key trusted advisor and influencer in shaping customer decisions to buy and adopt Microsoft Azure solutions by winning the customers technical decision for consumption projects and usage scenarios through tailored messaging, technical discussion ...
1 āļ§āļąāļ™āļ—āļĩāđˆāļœāđˆāļēāļ™āļĄāļē
āļ”āļđāđ€āļžāļīāđˆāļĄāđ€āļ•āļīāļĄkeyboard_arrow_down
āļŦāļēāļ‡āļēāļ™ āļŠāļĄāļąāļ„āļĢāļ‡āļēāļ™ āđ„āļ—āļĒāđ€āļšāļŸ 2
āļŦāļēāļ‡āļēāļ™ āļŠāļĄāļąāļ„āļĢāļ‡āļēāļ™ āđ„āļ—āļĒāđ€āļšāļŸ 2
āļāļĢāļļāļ‡āđ€āļ—āļž, āļšāļĢāļīāļŦāļēāļĢāļ—āļĢāļąāļžāļĒāļēāļāļĢāļšāļļāļ„āļ„āļĨ ,āļšāļĢāļīāļŦāļēāļĢāļœāļĨāļīāļ•āļ āļąāļ“āļ‘āđŒ / āļšāļĢāļīāļŦāļēāļĢāđāļšāļĢāļ™āļ”āđŒāļŠāļīāļ™āļ„āđ‰āļē āļšāļĢāļīāļŦāļēāļĢāļ—āļĢāļąāļžāļĒāļēāļāļĢāļšāļļāļ„āļ„āļĨ,āļšāļĢāļīāļŦāļēāļĢāļœāļĨāļīāļ•āļ āļąāļ“āļ‘āđŒ / āļšāļĢāļīāļŦāļēāļĢāđāļšāļĢāļ™āļ”āđŒāļŠāļīāļ™āļ„āđ‰āļē

āļ—āļąāļāļĐāļ°:

Compliance, Data Analysis, Power BI

āļ›āļĢāļ°āđ€āļ āļ—āļ‡āļēāļ™:

āļ‡āļēāļ™āļ›āļĢāļ°āļˆāļģ

āđ€āļ‡āļīāļ™āđ€āļ”āļ·āļ­āļ™:

āļŠāļēāļĄāļēāļĢāļ–āļ•āđˆāļ­āļĢāļ­āļ‡āđ„āļ”āđ‰

  • Build and maintain an HR data repository tailored to the food business under ThaiBev group, focusing on metrics critical to food operations, such as labor productivity, turnover by location, and shift coverage efficiency.
  • Ensure data integrity and compliance with industry-specific labor regulations, maintaining a transparent and accurate source of HR information.
  • Collaborate with operations teams to integrate labor data from multiple food business units, enabling holistic insights across various branches and regions.
7 āļ§āļąāļ™āļ—āļĩāđˆāļœāđˆāļēāļ™āļĄāļē
āļ”āļđāđ€āļžāļīāđˆāļĄāđ€āļ•āļīāļĄkeyboard_arrow_down
āļŦāļēāļ‡āļēāļ™ āļŠāļĄāļąāļ„āļĢāļ‡āļēāļ™ āđ„āļ—āļĒāđ€āļšāļŸ 3
āļŦāļēāļ‡āļēāļ™ āļŠāļĄāļąāļ„āļĢāļ‡āļēāļ™ āđ„āļ—āļĒāđ€āļšāļŸ 3

āļ—āļąāļāļĐāļ°:

Power BI, Excel, Microsoft Office

āļ›āļĢāļ°āđ€āļ āļ—āļ‡āļēāļ™:

āļ‡āļēāļ™āļ›āļĢāļ°āļˆāļģ

āđ€āļ‡āļīāļ™āđ€āļ”āļ·āļ­āļ™:

āļŠāļēāļĄāļēāļĢāļ–āļ•āđˆāļ­āļĢāļ­āļ‡āđ„āļ”āđ‰

  • āļ§āļīāđ€āļ„āļĢāļēāļ°āļŦāđŒ āđāļĨāļ°āļˆāļąāļ”āļ—āļģāļĢāļēāļĒāļ‡āļēāļ™āđ€āļ›āļĢāļĩāļĒāļšāđ€āļ—āļĩāļĒāļšāļ‚āđ‰āļ­āļĄāļđāļĨ āļ•āđˆāļēāļ‡āđ† āđ€āļŠāđˆāļ™ āļĢāļēāļĒāļ§āļąāļ™, āļĢāļēāļĒāđ€āļ”āļ·āļ­āļ™, āļĢāļēāļĒāļ›āļĩ āđ‚āļ”āļĒāđ€āļ›āļĢāļĩāļĒāļšāđ€āļ—āļĩāļĒāļšāļāļąāļšāļ‚āđ‰āļ­āļĄāļđāļĨāđƒāļ™āļ­āļ”āļĩāļ•āđ€āļ›āđ‰āļēāļŦāļĄāļēāļĒ āđāļĨāļ°āļāļēāļĢāļ›āļĢāļ°āļĄāļēāļ“āļāļēāļĢāđƒāļ™āļ­āļ™āļēāļ„āļ• āđ€āļžāļ·āđˆāļ­āļ™āļģāđ€āļŠāļ™āļ­āļœāļđāđ‰āļšāļĢāļīāļŦāļēāļĢ.
  • āļˆāļąāļ”āļ—āļģāļ‡āļšāļ›āļĢāļ°āļĄāļēāļ“āļ›āļĢāļ°āļˆāļģāļ›āļĩāđƒāļ™āļŠāđˆāļ§āļ™āļ‚āļ­āļ‡ āļĒāļ­āļ”āļ‚āļēāļĒ āđāļĨāļ°āļ„āđˆāļēāđƒāļŠāđ‰āļˆāđˆāļēāļĒāļŠāđˆāļ‡āđ€āļŠāļĢāļīāļĄāļāļēāļĢāļ‚āļēāļĒ.
  • āļˆāļąāļ”āļ—āļģāļĢāļēāļĒāļ‡āļēāļ™āļŠāļĢāļļāļ› Profit & Loss āļ›āļĢāļ°āļˆāļģāđ€āļ”āļ·āļ­āļ™āđƒāļ™āļĄāļļāļĄāļĄāļ­āļ‡āļšāļĢāļīāļŦāļēāļĢāļŊ āđ€āļžāļ·āđˆāļ­āļ™āļģāđ€āļŠāļ™āļ­āļœāļđāđ‰āļšāļĢāļīāļŦāļēāļĢ.
āļ§āļąāļ™āļ™āļĩāđ‰
āļ”āļđāđ€āļžāļīāđˆāļĄāđ€āļ•āļīāļĄkeyboard_arrow_down
āļŦāļēāļ‡āļēāļ™ āļŠāļĄāļąāļ„āļĢāļ‡āļēāļ™ āđ€āļ­āđ„āļ­āđ€āļ­āļŠ 4
āļŦāļēāļ‡āļēāļ™ āļŠāļĄāļąāļ„āļĢāļ‡āļēāļ™ āđ€āļ­āđ„āļ­āđ€āļ­āļŠ 4

āļ—āļąāļāļĐāļ°:

Finance, Compliance

āļ›āļĢāļ°āđ€āļ āļ—āļ‡āļēāļ™:

āļ‡āļēāļ™āļ›āļĢāļ°āļˆāļģ

āđ€āļ‡āļīāļ™āđ€āļ”āļ·āļ­āļ™:

āļŠāļēāļĄāļēāļĢāļ–āļ•āđˆāļ­āļĢāļ­āļ‡āđ„āļ”āđ‰

  • Conduct detailed analysis of Enterprise Service revenue to identify trends in products and services within AIS Group.
  • Verify the accuracy and completeness of revenue collection, promotion packages, and new services to ensure compliance with business conditions.
  • Develop appropriate QA measures to minimize revenue loss and operational errors.
āļ§āļąāļ™āļ™āļĩāđ‰
āļ”āļđāđ€āļžāļīāđˆāļĄāđ€āļ•āļīāļĄkeyboard_arrow_down
āļŦāļēāļ‡āļēāļ™ āļŠāļĄāļąāļ„āļĢāļ‡āļēāļ™ āļšāļĢāļīāļĐāļąāļ— āđāļ­āļŠāđ€āļ‹āļ™āļ”āđŒ āļāļĢāļļāđŠāļ› āļˆāļģāļāļąāļ” 5
āļŦāļēāļ‡āļēāļ™ āļŠāļĄāļąāļ„āļĢāļ‡āļēāļ™ āļšāļĢāļīāļĐāļąāļ— āđāļ­āļŠāđ€āļ‹āļ™āļ”āđŒ āļāļĢāļļāđŠāļ› āļˆāļģāļāļąāļ” 5

āļ—āļąāļāļĐāļ°:

Cloud Computing, SAP, Linux

āļ›āļĢāļ°āđ€āļ āļ—āļ‡āļēāļ™:

āļ‡āļēāļ™āļ›āļĢāļ°āļˆāļģ

āđ€āļ‡āļīāļ™āđ€āļ”āļ·āļ­āļ™:

āļŠāļēāļĄāļēāļĢāļ–āļ•āđˆāļ­āļĢāļ­āļ‡āđ„āļ”āđ‰

  • Acting as the key of Cloud technical aspect for the consulting team to provide the technical consulting to both internal and external customers.
  • Design Cloud solution architecture in response to the client s requirement.
  • Provide advisory consulting service to the client regarding the True IDC Consulting practices.
3 āļ§āļąāļ™āļ—āļĩāđˆāļœāđˆāļēāļ™āļĄāļē
āļ”āļđāđ€āļžāļīāđˆāļĄāđ€āļ•āļīāļĄkeyboard_arrow_down
āļŦāļēāļ‡āļēāļ™ āļŠāļĄāļąāļ„āļĢāļ‡āļēāļ™ āļšāļīāđŠāļāļ‹āļĩ 6
āļŦāļēāļ‡āļēāļ™ āļŠāļĄāļąāļ„āļĢāļ‡āļēāļ™ āļšāļīāđŠāļāļ‹āļĩ 6

āļ—āļąāļāļĐāļ°:

Excel, Python, Power BI

āļ›āļĢāļ°āđ€āļ āļ—āļ‡āļēāļ™:

āļ‡āļēāļ™āļ›āļĢāļ°āļˆāļģ

āđ€āļ‡āļīāļ™āđ€āļ”āļ·āļ­āļ™:

āļŠāļēāļĄāļēāļĢāļ–āļ•āđˆāļ­āļĢāļ­āļ‡āđ„āļ”āđ‰

  • Identify and provide list of non-performing inventory, never been sold inventory, non-Planogram, Inventory to Merchandise & Buyer, follow up action and simulate impact from Mark down price.
  • Analyze root cause which impact to non-performing inventory increasing and provide conclusion and recommendation for next step action in term of work in a process with relevant parties.
  • Work with Store Operations to follow up execution to clear these inventory.
1 āļ§āļąāļ™āļ—āļĩāđˆāļœāđˆāļēāļ™āļĄāļē
āļ”āļđāđ€āļžāļīāđˆāļĄāđ€āļ•āļīāļĄkeyboard_arrow_down
āļŦāļēāļ‡āļēāļ™ āļŠāļĄāļąāļ„āļĢāļ‡āļēāļ™ āļšāļīāđŠāļāļ‹āļĩ 7
āļŦāļēāļ‡āļēāļ™ āļŠāļĄāļąāļ„āļĢāļ‡āļēāļ™ āļšāļīāđŠāļāļ‹āļĩ 7

āļ—āļąāļāļĐāļ°:

Data Analysis, Excel, Power BI

āļ›āļĢāļ°āđ€āļ āļ—āļ‡āļēāļ™:

āļ‡āļēāļ™āļ›āļĢāļ°āļˆāļģ

āđ€āļ‡āļīāļ™āđ€āļ”āļ·āļ­āļ™:

āļŠāļēāļĄāļēāļĢāļ–āļ•āđˆāļ­āļĢāļ­āļ‡āđ„āļ”āđ‰

  • Graduate with a Bachelor's/Master's Degree in Economics, Engineer, IT, or other related fields.
  • Have an Experience in data analysis or performance reporting.
  • Strong data analysis skills using Excel, Power BI, and SQL.
1 āļ§āļąāļ™āļ—āļĩāđˆāļœāđˆāļēāļ™āļĄāļē
āļ”āļđāđ€āļžāļīāđˆāļĄāđ€āļ•āļīāļĄkeyboard_arrow_down
āļŦāļēāļ‡āļēāļ™ āļŠāļĄāļąāļ„āļĢāļ‡āļēāļ™ āđ€āļ­āđ„āļ­āđ€āļ­āļŠ 8
āļŦāļēāļ‡āļēāļ™ āļŠāļĄāļąāļ„āļĢāļ‡āļēāļ™ āđ€āļ­āđ„āļ­āđ€āļ­āļŠ 8

āļ›āļĢāļ°āđ€āļ āļ—āļ‡āļēāļ™:

āļ‡āļēāļ™āļ›āļĢāļ°āļˆāļģ

āđ€āļ‡āļīāļ™āđ€āļ”āļ·āļ­āļ™:

āļŠāļēāļĄāļēāļĢāļ–āļ•āđˆāļ­āļĢāļ­āļ‡āđ„āļ”āđ‰

  • Analyze data and provide business insight.
  • Assess risk and design mitigation actions based on data insight.
  • Design dashboards / predictive models for decision-making management.
4 āļ§āļąāļ™āļ—āļĩāđˆāļœāđˆāļēāļ™āļĄāļē
āļŦāļēāļ‡āļēāļ™ āļŠāļĄāļąāļ„āļĢāļ‡āļēāļ™ āļāļĢāļļāļ‡āđ„āļ—āļĒ 9
āļŦāļēāļ‡āļēāļ™ āļŠāļĄāļąāļ„āļĢāļ‡āļēāļ™ āļāļĢāļļāļ‡āđ„āļ—āļĒ 9

āļ—āļąāļāļĐāļ°:

Data Analysis, English

āļ›āļĢāļ°āđ€āļ āļ—āļ‡āļēāļ™:

āļ‡āļēāļ™āļ›āļĢāļ°āļˆāļģ

āđ€āļ‡āļīāļ™āđ€āļ”āļ·āļ­āļ™:

āļŠāļēāļĄāļēāļĢāļ–āļ•āđˆāļ­āļĢāļ­āļ‡āđ„āļ”āđ‰

  • Data Innovation Team.
  • āļ›āļŽāļīāļšāļąāļ•āļīāļ‡āļēāļ™āļĒāļąāļ‡ āļšāļĢāļīāļĐāļąāļ— Infinitas by Krungthai
  • As a data analyst in Infinitas, you would expect a new level of analytical experiences here. Being part of Data Innovation team, your goal is to make data useful for all stakeholders. Under the big umbrella of the leading bank in Thailand, Infinitas leverage the largest financial data sets from both traditional banking and mobile banking services. From customer digital footprint to branch, ATM and call center. We mea ...
4 āļ§āļąāļ™āļ—āļĩāđˆāļœāđˆāļēāļ™āļĄāļē
āļ”āļđāđ€āļžāļīāđˆāļĄāđ€āļ•āļīāļĄkeyboard_arrow_down
āļŦāļēāļ‡āļēāļ™ āļŠāļĄāļąāļ„āļĢāļ‡āļēāļ™ āļšāļĢāļīāļĐāļąāļ— āļ™āļĩāļĨāđ€āļŠāđ‡āļ™āđ„āļ­āļ„āļīāļ§ āļ›āļĢāļ°āđ€āļ—āļĻāđ„āļ—āļĒ āļˆāļģāļāļąāļ” 10
āļŦāļēāļ‡āļēāļ™ āļŠāļĄāļąāļ„āļĢāļ‡āļēāļ™ āļšāļĢāļīāļĐāļąāļ— āļ™āļĩāļĨāđ€āļŠāđ‡āļ™āđ„āļ­āļ„āļīāļ§ āļ›āļĢāļ°āđ€āļ—āļĻāđ„āļ—āļĒ āļˆāļģāļāļąāļ” 10

āļ—āļąāļāļĐāļ°:

Positive Thinker, English

āļ›āļĢāļ°āđ€āļ āļ—āļ‡āļēāļ™:

āļ‡āļēāļ™āļ›āļĢāļ°āļˆāļģ

āđ€āļ‡āļīāļ™āđ€āļ”āļ·āļ­āļ™:

āļŠāļēāļĄāļēāļĢāļ–āļ•āđˆāļ­āļĢāļ­āļ‡āđ„āļ”āđ‰

  • Be the contact for commercial queries, leading the resolution in a client-focused and timely manner in cooperation with Client Liaison and Commercial teams. To be able to identify, investigate and coordinate the resolution of data, process, or product related queries.
  • Plan and execute a complex daily personal workload and support to meet departmental and company schedules.
  • Analyze and identify gaps and areas for improvement in coding, data input validation ...
9 āļ§āļąāļ™āļ—āļĩāđˆāļœāđˆāļēāļ™āļĄāļē
āļ”āļđāđ€āļžāļīāđˆāļĄāđ€āļ•āļīāļĄkeyboard_arrow_down
Upload ResumeUpload Resume
āļ­āļąāļžāđ‚āļŦāļĨāļ”āđ€āļĢāļ‹āļđāđ€āļĄāđˆāļ‚āļ­āļ‡āļ„āļļāļ“ AI āļ‚āļ­āļ‡āđ€āļĢāļēāļˆāļ°āļ§āļīāđ€āļ„āļĢāļēāļ°āļŦāđŒāđāļĨāļ°āđāļ™āļ°āļ™āļģāļ•āļģāđāļŦāļ™āđˆāļ‡āļ‡āļēāļ™āļ—āļĩāđˆāļ”āļĩāļ—āļĩāđˆāļŠāļļāļ”āđƒāļŦāđ‰āļ„āļļāļ“
āļŦāļēāļ‡āļēāļ™ āļŠāļĄāļąāļ„āļĢāļ‡āļēāļ™ āļšāļīāđŠāļāļ‹āļĩ 11
āļŦāļēāļ‡āļēāļ™ āļŠāļĄāļąāļ„āļĢāļ‡āļēāļ™ āļšāļīāđŠāļāļ‹āļĩ 11

āļ—āļąāļāļĐāļ°:

Excel, Python, Power BI

āļ›āļĢāļ°āđ€āļ āļ—āļ‡āļēāļ™:

āļ‡āļēāļ™āļ›āļĢāļ°āļˆāļģ

āđ€āļ‡āļīāļ™āđ€āļ”āļ·āļ­āļ™:

āļŠāļēāļĄāļēāļĢāļ–āļ•āđˆāļ­āļĢāļ­āļ‡āđ„āļ”āđ‰

  • Create, Develop and Monitor Auto Replenishment & Parameter.
  • Maintain and adjust parameters to optimize stock availability/ stock level during normal/month and promotion periods.
  • Investigate and identify root cause of overstocking and OOS at Store/DC.
4 āļ§āļąāļ™āļ—āļĩāđˆāļœāđˆāļēāļ™āļĄāļē
āļ”āļđāđ€āļžāļīāđˆāļĄāđ€āļ•āļīāļĄkeyboard_arrow_down
āļŦāļēāļ‡āļēāļ™ āļŠāļĄāļąāļ„āļĢāļ‡āļēāļ™ āļšāļĢāļīāļĐāļąāļ— āđāļ­āļŠāđ€āļ‹āļ™āļ”āđŒ āļāļĢāļļāđŠāļ› āļˆāļģāļāļąāļ” 12
āļŦāļēāļ‡āļēāļ™ āļŠāļĄāļąāļ„āļĢāļ‡āļēāļ™ āļšāļĢāļīāļĐāļąāļ— āđāļ­āļŠāđ€āļ‹āļ™āļ”āđŒ āļāļĢāļļāđŠāļ› āļˆāļģāļāļąāļ” 12

āļ›āļĢāļ°āļŠāļšāļāļēāļĢāļ“āđŒ:

5 āļ›āļĩāļ‚āļķāđ‰āļ™āđ„āļ›

āļ—āļąāļāļĐāļ°:

Python, ETL, Compliance

āļ›āļĢāļ°āđ€āļ āļ—āļ‡āļēāļ™:

āļ‡āļēāļ™āļ›āļĢāļ°āļˆāļģ

āđ€āļ‡āļīāļ™āđ€āļ”āļ·āļ­āļ™:

āļŠāļēāļĄāļēāļĢāļ–āļ•āđˆāļ­āļĢāļ­āļ‡āđ„āļ”āđ‰

  • Design and implement scalable, reliable, and efficient data pipelines for ingesting, processing, and storing large amounts of data from a variety of sources using cloud-based technologies, Python, and PySpark.
  • Build and maintain data lakes, data warehouses, and other data storage and processing systems on the cloud.
  • Write and maintain ETL/ELT jobs and data integration scripts to ensure smooth and accurate data flow.
āļ§āļąāļ™āļ™āļĩāđ‰
āļ”āļđāđ€āļžāļīāđˆāļĄāđ€āļ•āļīāļĄkeyboard_arrow_down
āļŦāļēāļ‡āļēāļ™ āļŠāļĄāļąāļ„āļĢāļ‡āļēāļ™ āļšāļĢāļīāļĐāļąāļ— āļ‹āļĩāļžāļĩ āđāļ­āđ‡āļāļ‹āđŒāļ•āļĢāđ‰āļē āļˆāļģāļāļąāļ” āļĄāļŦāļēāļŠāļ™ āđāļĄāđ‡āļ„āđ‚āļ„āļĢ 13
āļŦāļēāļ‡āļēāļ™ āļŠāļĄāļąāļ„āļĢāļ‡āļēāļ™ āļšāļĢāļīāļĐāļąāļ— āļ‹āļĩāļžāļĩ āđāļ­āđ‡āļāļ‹āđŒāļ•āļĢāđ‰āļē āļˆāļģāļāļąāļ” āļĄāļŦāļēāļŠāļ™ āđāļĄāđ‡āļ„āđ‚āļ„āļĢ 13

āļ—āļąāļāļĐāļ°:

ETL, Java, Python

āļ›āļĢāļ°āđ€āļ āļ—āļ‡āļēāļ™:

āļ‡āļēāļ™āļ›āļĢāļ°āļˆāļģ

āđ€āļ‡āļīāļ™āđ€āļ”āļ·āļ­āļ™:

āļŠāļēāļĄāļēāļĢāļ–āļ•āđˆāļ­āļĢāļ­āļ‡āđ„āļ”āđ‰

  • Design, develop, optimize, and maintain data architecture and pipelines that adhere to ETL principles and business goals.
  • Create data products for analytics and data scientist team members to improve their productivity.
  • Lead the evaluation, implementation and deployment of emerging tools and process for analytic data engineering in order to improve our productivity as a team.
4 āļ§āļąāļ™āļ—āļĩāđˆāļœāđˆāļēāļ™āļĄāļē
āļ”āļđāđ€āļžāļīāđˆāļĄāđ€āļ•āļīāļĄkeyboard_arrow_down
āļŦāļēāļ‡āļēāļ™ āļŠāļĄāļąāļ„āļĢāļ‡āļēāļ™ āļšāļīāđŠāļāļ‹āļĩ 14
āļŦāļēāļ‡āļēāļ™ āļŠāļĄāļąāļ„āļĢāļ‡āļēāļ™ āļšāļīāđŠāļāļ‹āļĩ 14

āļ—āļąāļāļĐāļ°:

Excel, Meet Deadlines, Power BI

āļ›āļĢāļ°āđ€āļ āļ—āļ‡āļēāļ™:

āļ‡āļēāļ™āļ›āļĢāļ°āļˆāļģ

āđ€āļ‡āļīāļ™āđ€āļ”āļ·āļ­āļ™:

āļŠāļēāļĄāļēāļĢāļ–āļ•āđˆāļ­āļĢāļ­āļ‡āđ„āļ”āđ‰

  • Collect HR Data from a variety of data sources, including HRMS, Excel, Google Sheet and Text files.
  • Preparing data and developing analytical reports in the HR area, such as HR Dashboard, to support executive decision-making.
  • Analyzes and prepares Executive Dashboard in order to predict and find solutions with HR team member.
5 āļ§āļąāļ™āļ—āļĩāđˆāļœāđˆāļēāļ™āļĄāļē
āļ”āļđāđ€āļžāļīāđˆāļĄāđ€āļ•āļīāļĄkeyboard_arrow_down
āļŦāļēāļ‡āļēāļ™ āļŠāļĄāļąāļ„āļĢāļ‡āļēāļ™ āļāļĢāļļāļ‡āđ„āļ—āļĒ 15
āļŦāļēāļ‡āļēāļ™ āļŠāļĄāļąāļ„āļĢāļ‡āļēāļ™ āļāļĢāļļāļ‡āđ„āļ—āļĒ 15

āļ›āļĢāļ°āļŠāļšāļāļēāļĢāļ“āđŒ:

3 āļ›āļĩāļ‚āļķāđ‰āļ™āđ„āļ›

āļ—āļąāļāļĐāļ°:

Big Data, Hive, SAS

āļ›āļĢāļ°āđ€āļ āļ—āļ‡āļēāļ™:

āļ‡āļēāļ™āļ›āļĢāļ°āļˆāļģ

āđ€āļ‡āļīāļ™āđ€āļ”āļ·āļ­āļ™:

āļŠāļēāļĄāļēāļĢāļ–āļ•āđˆāļ­āļĢāļ­āļ‡āđ„āļ”āđ‰

  • Design, implement, and maintain data analytics pipelines and processing systems.
  • Experience of data modelling techniques and integration patterns.
  • Write data transformation jobs through code.
6 āļ§āļąāļ™āļ—āļĩāđˆāļœāđˆāļēāļ™āļĄāļē
āļ”āļđāđ€āļžāļīāđˆāļĄāđ€āļ•āļīāļĄkeyboard_arrow_down
āļŦāļēāļ‡āļēāļ™ āļŠāļĄāļąāļ„āļĢāļ‡āļēāļ™ āđ‚āļĨāļ•āļąāļŠ 16
āļŦāļēāļ‡āļēāļ™ āļŠāļĄāļąāļ„āļĢāļ‡āļēāļ™ āđ‚āļĨāļ•āļąāļŠ 16

āļ—āļąāļāļĐāļ°:

ETL, SQL, Hadoop

āļ›āļĢāļ°āđ€āļ āļ—āļ‡āļēāļ™:

āļ‡āļēāļ™āļ›āļĢāļ°āļˆāļģ

āđ€āļ‡āļīāļ™āđ€āļ”āļ·āļ­āļ™:

āļŠāļēāļĄāļēāļĢāļ–āļ•āđˆāļ­āļĢāļ­āļ‡āđ„āļ”āđ‰

  • Conduct meeting with users to understand the data requirements and perform database design based on data understanding and requirements with consideration for performance.
  • Maintain data dictionary, relationship and its interpretation.
  • Analyze problem and find resolution, as well as work closely with administrators to monitor performance and advise any necessary infrastructure changes.
7 āļ§āļąāļ™āļ—āļĩāđˆāļœāđˆāļēāļ™āļĄāļē
āļ”āļđāđ€āļžāļīāđˆāļĄāđ€āļ•āļīāļĄkeyboard_arrow_down
āļŦāļēāļ‡āļēāļ™ āļŠāļĄāļąāļ„āļĢāļ‡āļēāļ™ āļšāļīāđŠāļāļ‹āļĩ 17
āļŦāļēāļ‡āļēāļ™ āļŠāļĄāļąāļ„āļĢāļ‡āļēāļ™ āļšāļīāđŠāļāļ‹āļĩ 17

āļ—āļąāļāļĐāļ°:

Excel, Python, Power BI

āļ›āļĢāļ°āđ€āļ āļ—āļ‡āļēāļ™:

āļ‡āļēāļ™āļ›āļĢāļ°āļˆāļģ

āđ€āļ‡āļīāļ™āđ€āļ”āļ·āļ­āļ™:

āļŠāļēāļĄāļēāļĢāļ–āļ•āđˆāļ­āļĢāļ­āļ‡āđ„āļ”āđ‰

  • Create, Develop and Monitor Auto Replenishment & Parameter.
  • Maintain and adjust parameters to optimize stock availability/ stock level during normal/month and promotion periods.
  • Investigate and identify root cause of overstocking and OOS at Store/DC.
7 āļ§āļąāļ™āļ—āļĩāđˆāļœāđˆāļēāļ™āļĄāļē
āļ”āļđāđ€āļžāļīāđˆāļĄāđ€āļ•āļīāļĄkeyboard_arrow_down
āļŦāļēāļ‡āļēāļ™ āļŠāļĄāļąāļ„āļĢāļ‡āļēāļ™ āļĨāļēāļ‹āļēāļ”āđ‰āļē 18
āļŦāļēāļ‡āļēāļ™ āļŠāļĄāļąāļ„āļĢāļ‡āļēāļ™ āļĨāļēāļ‹āļēāļ”āđ‰āļē 18

āļ›āļĢāļ°āļŠāļšāļāļēāļĢāļ“āđŒ:

1 āļ›āļĩāļ‚āļķāđ‰āļ™āđ„āļ›

āļ—āļąāļāļĐāļ°:

ETL, Data Analysis, Industry trends

āļ›āļĢāļ°āđ€āļ āļ—āļ‡āļēāļ™:

āļ‡āļēāļ™āļ›āļĢāļ°āļˆāļģ

āđ€āļ‡āļīāļ™āđ€āļ”āļ·āļ­āļ™:

āļŋ70,000 - āļŋ90,000, āļŠāļēāļĄāļēāļĢāļ–āļ•āđˆāļ­āļĢāļ­āļ‡āđ„āļ”āđ‰

  • Analyze and interpret complex data sets to uncover insights and trends that drive business strategy and decision-making.
  • Collaborate with cross-functional teams to understand their data needs and provide actionable recommendations.
  • Design and maintain dashboards, reports, and visualizations using tools to communicate insights effectively.
7 āļ§āļąāļ™āļ—āļĩāđˆāļœāđˆāļēāļ™āļĄāļē
āļ”āļđāđ€āļžāļīāđˆāļĄāđ€āļ•āļīāļĄkeyboard_arrow_down
āļŦāļēāļ‡āļēāļ™ āļŠāļĄāļąāļ„āļĢāļ‡āļēāļ™ āđ‚āļĨāļ•āļąāļŠ 19
āļŦāļēāļ‡āļēāļ™ āļŠāļĄāļąāļ„āļĢāļ‡āļēāļ™ āđ‚āļĨāļ•āļąāļŠ 19
āļšāļķāļ‡āļāļļāđˆāļĄ, āļāļĢāļļāļ‡āđ€āļ—āļž, āļ§āļīāļĻāļ§āļāļĢāļĢāļĄ ,āļāļēāļĢāļˆāļąāļ”āļāļēāļĢ āļ§āļīāļĻāļ§āļāļĢāļĢāļĄ,āļāļēāļĢāļˆāļąāļ”āļāļēāļĢ

āļ›āļĢāļ°āļŠāļšāļāļēāļĢāļ“āđŒ:

3 āļ›āļĩāļ‚āļķāđ‰āļ™āđ„āļ›

āļ—āļąāļāļĐāļ°:

Big Data, ETL, SQL, Python

āļ›āļĢāļ°āđ€āļ āļ—āļ‡āļēāļ™:

āļ‡āļēāļ™āļ›āļĢāļ°āļˆāļģ

āđ€āļ‡āļīāļ™āđ€āļ”āļ·āļ­āļ™:

āļŠāļēāļĄāļēāļĢāļ–āļ•āđˆāļ­āļĢāļ­āļ‡āđ„āļ”āđ‰

  • Develop and maintain robust data pipelines to ingest, process, and transform raw data into formats suitable for LLM training.
  • Conduct meeting with users to understand the data requirements and perform database design based on data understanding and requirements with consideration for performance.
  • Maintain data dictionary, relationship and its interpretation.
13 āļ§āļąāļ™āļ—āļĩāđˆāļœāđˆāļēāļ™āļĄāļē
āļ”āļđāđ€āļžāļīāđˆāļĄāđ€āļ•āļīāļĄkeyboard_arrow_down
āļŦāļēāļ‡āļēāļ™ āļŠāļĄāļąāļ„āļĢāļ‡āļēāļ™ āļšāļĢāļīāļĐāļąāļ— āļāļąāļĨāļŸāđŒ āđ€āļ­āđ‡āļ™āđ€āļ™āļ­āļĢāđŒāļˆāļĩ āļ”āļĩāđ€āļ§āļĨāļĨāļ­āļ›āđ€āļĄāļ™āļ—āđŒ āļˆāļģāļāļąāļ” 20
āļŦāļēāļ‡āļēāļ™ āļŠāļĄāļąāļ„āļĢāļ‡āļēāļ™ āļšāļĢāļīāļĐāļąāļ— āļāļąāļĨāļŸāđŒ āđ€āļ­āđ‡āļ™āđ€āļ™āļ­āļĢāđŒāļˆāļĩ āļ”āļĩāđ€āļ§āļĨāļĨāļ­āļ›āđ€āļĄāļ™āļ—āđŒ āļˆāļģāļāļąāļ” 20

āļ›āļĢāļ°āļŠāļšāļāļēāļĢāļ“āđŒ:

āđ„āļĄāđˆāļˆāļģāđ€āļ›āđ‡āļ™āļ•āđ‰āļ­āļ‡āļĄāļĩāļ›āļĢāļ°āļŠāļšāļāļēāļĢāļ“āđŒāļ—āļģāļ‡āļēāļ™

āļ—āļąāļāļĐāļ°:

Mechanical Engineering, Electrical Engineering, English

āļ›āļĢāļ°āđ€āļ āļ—āļ‡āļēāļ™:

āļ‡āļēāļ™āļ›āļĢāļ°āļˆāļģ

  • Provide day to day installation, maintenance, and repair of all facilities in the data center.
  • 24x7 shift work responsibility when qualified and designated.
  • Provide requested reporting and documentation.
17 āļ§āļąāļ™āļ—āļĩāđˆāļœāđˆāļēāļ™āļĄāļē
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āļŠāđˆāļ‡āđāļˆāđ‰āļ‡āđ€āļ•āļ·āļ­āļ™āļ‡āļēāļ™āđƒāļŦāļĄāđˆāļĨāđˆāļēāļŠāļļāļ”āļŠāļģāļŦāļĢāļąāļšāļœāļđāđ‰āđ€āļŠāļĩāđˆāļĒāļ§āļŠāļēāļāļ”āđ‰āļēāļ™āļ‚āđ‰āļ­āļĄāļđāļĨ
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āļĨāļ‡āļ—āļ°āđ€āļšāļĩāļĒāļ™āļāļąāļš WorkVenture āđ€āļžāļ·āđˆāļ­āļ„āđ‰āļ™āļŦāļēāļ‡āļēāļ™āđƒāļŦāļĄāđˆāļĨāđˆāļēāļŠāļļāļ”āđāļĨāļ°āļ­āđˆāļēāļ™āļĢāļĩāļ§āļīāļ§āļšāļĢāļīāļĐāļąāļ—āļˆāļēāļāļœāļđāđ‰āļ—āļģāļ‡āļēāļ™āļˆāļĢāļīāļ‡