トレンド企業

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Nextracker

Energy technology company.

HR Data Analytics

職種データ分析
経験ミドル級
勤務地Mexico, Guadalajara
勤務オンサイト
雇用正社員
掲載1週間前
応募する

Flex is the diversified manufacturing partner of choice that helps market-leading brands design, build and deliver innovative products that improve the world.

A career at Flex offers the opportunity to make a difference and invest in your growth in a respectful, inclusive, and collaborative environment. If you are excited about a role but don't meet every bullet point, we encourage you to apply and join us to create the extraordinary.

Job Summary

To support our extraordinary teams who build great products and contribute to our growth, we’re looking to add a HR Data Analytics located in Guadalajara, North Campus.

The Data Analyst will play a critical role in transforming business and HR data into actionable insights while leading and coordinating technical resources to deliver scalable, reliable analytics solutions. This role sits at the intersection of analytics, data engineering, and technical team management, ensuring stakeholders receive accurate, timely, and business-relevant insights. The ideal candidate combines strong hands-on analytics experience with the ability to manage, prioritize, and guide technical work, acting as a bridge between business stakeholders (specifically HR) and technical delivery teams

What a typical day looks like:

  • Translate business and HR questions into analytics requirements and technical solutions
  • Coordinate and guide technical contributors (data engineers, analysts, developers) working on analytics pipelines and dashboards
  • Review and validate data models, SQL logic, ETL processes, and dashboard outputs
  • Partner with stakeholders to prioritize requests related to organizational effectiveness, headcount, productivity, and planning
  • Ensure data quality, governance, and consistency across enterprise systems (e.g., Data Warehouse, reporting tools, HRIS)
  • Lead or contribute to dashboard development and enhancements in Tableau and SSRS
  • Support ongoing automation and optimization of reporting processes
  • Participate in design discussions for new data solutions using cloud and modern analytics platforms (AWS, Snowflake – optional)
  • Provide guidance, coaching, and technical direction to less experienced analysts or developers
  • Balance short-term operational demands with long-term analytics and data strategy goals
  • Lead and manage the execution of analytics and reporting initiatives
  • Act as a technical point of contact between business units (like HR), IT, and data teams
  • Design, review, and optimize SQL Server–based data models and queries
  • Oversee data integration processes using SSIS and reporting using SSRS
  • Develop and maintain Tableau dashboards for global metrics
  • Ensure trusted data sourcing from enterprise systems
  • Support cloud-based analytics solutions leveraging AWS (and Snowflake, if applicable)
  • Define best practices for documentation, versioning, and data governance
  • Contribute to analytics roadmap planning and technical prioritization

The experience we’re looking to add to our team:

  • Typically requires a Bachelor’s Degree in a related field or equivalent experience and training.
  • Outstanding leadership, organizational,multi tasking and problem-solving skills.
  • Fluent English
  • Experience in Data Analytics, Business Intelligence, or related data roles
  • Proven experience leading or coordinating technical teams or analysts (formal or matrix leadership)
  • Strong hands-on experience with:
  • SQL Server (advanced SQL)
  • Tableau (dashboard design and performance optimization)
  • SSIS & SSRS
  • Data extraction, reporting, and integration from large enterprise systems (ERP, CRM, etc.)
  • Ability to translate complex business questions into clear technical requirements
  • Strong stakeholder management and communication skills
  • Comfortable working in global, cross-functional environments
  • DESIRABLE - HR Analytics Experience:

Prior experience in HR Analytics, People Analytics, or working with HR data domains (Headcount, attrition, workforce planning, job architecture, organizational structures).

  • DESIRABLE - Workday Experience:

Hands-on experience with Workday data extraction, reporting, or integrations.

What you’ll receive for the great work you provide:

  • Competitive Salary.
  • Life & Medical insurance.
  • Christmas Bonus.
  • Food Coupons.
  • Saving Fund.

HS115

Job Category

Human Resources

Required Skills:

Optional Skills:

Flex is an Equal Opportunity Employer and employment selection decisions are based on merit, qualifications, and abilities. We do not discriminate based on: age, race, religion, color, sex, national origin, marital status, sexual orientation, gender identity, veteran status, disability, pregnancy status, or any other status protected by law. We're happy to provide reasonable accommodations to those with a disability for assistance in the application process. Please email accessibility@flex.com and we'll discuss your specific situation and next steps (NOTE: this email does not accept or consider resumes or applications. This is only for disability assistance. To be considered for a position at Flex, you must complete the application process first).

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Nextrackerについて

Nextracker

SunLink Corporation was a privately owned company headquartered in Mill Valley, California that manufactured renewable energy products. SunLink's Warehouse and Training Center was located in San Leandro, California. Product design, testing and fabrication took place in California.

501-1,000

従業員数

Fremont

本社所在地

$2.5B

企業価値

レビュー

10件のレビュー

3.9

10件のレビュー

ワークライフバランス

3.8

報酬

2.5

企業文化

4.2

キャリア

3.2

経営陣

3.4

72%

知人への推奨率

良い点

Supportive team and colleagues

Good work-life balance and flexibility

Strong company culture and values

改善点

Low compensation and pay

Management and organizational issues

Heavy workload and long hours

給与レンジ

50件のデータ

Mid/L4

Senior/L5

Mid/L4 · Data Engineer

1件のレポート

$169,000

年収総額

基本給

$130,000

ストック

-

ボーナス

-

$169,000

$169,000

面接レビュー

レビュー2件

難易度

3.0

/ 5

期間

14-28週間

内定率

50%

面接プロセス

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Live Coding/Technical Interview

5

Onsite/Virtual Interviews

6

Offer

よくある質問

Coding/Algorithm

Technical Knowledge

Behavioral/STAR

System Design

Past Experience