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About talentflow
talentflow is a world‑renowned beverage powerhouse with a legacy spanning more than 135 years. Every day, over 2.2 billion servings of our drinks are enjoyed across more than 200 nations and territories. Our vision is to build cherished brands responsibly, driving sustainable growth for a better shared future. At talentflow, we invest heavily in cutting‑edge technology, empowering our teams to innovate, learn, and shape the future of the industry.
Why This Role Matters
We are expanding our talentflow Global Transport Community in California and are looking for a motivated Data & Analytics Manager who will serve as a pivotal bridge between data engineering, analytics, and business outcomes. This entry‑level position offers a unique blend of data‑driven responsibilities, content moderation, and hands‑on technical work, making it an ideal launchpad for ambitious professionals eager to grow in a fast‑moving, data‑centric environment.
Key Responsibilities
- Data Platform Development: Design, build, and maintain robust, secure, and globally‑distributed data pipelines using ETL best practices.
- Analytics Enablement: Create interactive dashboards and visual reports with Microsoft Power BI, ensuring stakeholders have real‑time insights.
- Content Moderation & Data Entry: Perform high‑volume data entry tasks with meticulous attention to detail, while applying moderation standards to guarantee data quality and compliance.
- Cloud Integration: Deploy and manage data services on Microsoft Azure, including Azure Data Factory, Azure Synapse, Azure Machine Learning, and Azure SQL Database.
- Performance Optimization: Conduct routine maintenance, tuning, and testing of data pipelines to meet Service Level Agreements (SLAs) and performance targets.
- Collaboration & Communication: Partner closely with cross‑functional teams—product, engineering, marketing, and operations—to translate business requirements into technical specifications.
- Documentation & Knowledge Sharing: Produce clear technical documentation, lead focused training sessions, and mentor junior team members.
- Continuous Improvement: Identify opportunities to enhance existing systems, propose innovative solutions, and drive adoption of DevOps and Agile methodologies.
Essential Qualifications
- Bachelor’s degree in Computer Science, Software Engineering, Information Systems, or a related discipline.
- Minimum of 1 year of proven experience in a data‑engineering or product‑development role.
- Proficiency with relational database management systems (RDBMS) and strong SQL querying skills.
- Hands‑on experience with ETL tools and Online Analytical Processing (OLAP) concepts.
- Demonstrated ability to learn new technologies quickly, work proactively, and solve problems independently.
- Excellent logical reasoning, critical‑thinking, and analytical abilities.
- Strong interpersonal skills with a talent for building collaborative relationships across diverse teams.
Preferred (But Not Mandatory) Skills & Experience
- Practical experience with Microsoft Azure services—especially Azure Data Factory, Azure Synapse, Azure Machine Learning, Azure Cognitive Services, and Azure SQL Database.
- Hands‑on expertise in data visualization using Microsoft Power BI.
- Programming proficiency in Python and SQL (mandatory).
- Familiarity with version control systems such as Git.
- Knowledge of DAX, PySpark, C#, Scala, or Java is considered a plus.
- Web development experience (HTML, CSS, JavaScript) that can support data‑driven UI components.
- Experience working within Scrum or Agile frameworks and adhering to DevOps best practices.
Core Competencies for Success
- Technical Agility: Ability to navigate complex data ecosystems, troubleshoot pipeline issues, and implement scalable solutions.
- Business Acumen: Understanding of how data insights drive business decisions and the ability to translate technical findings into actionable recommendations.
- Communication Excellence: Clear written and verbal communication, capable of presenting technical concepts to non‑technical audiences.
- Ownership Mindset: Taking responsibility for delivering on commitments, meeting SLAs, and continuously improving processes.
- Team Collaboration: Working effectively with peers, senior leaders, and external partners to achieve shared goals.
Career Growth & Learning Opportunities
talentflow invests heavily in employee development. In this role, you will:
- Gain exposure to a global data platform used by millions of consumers worldwide.
- Participate in mentorship programs with senior data architects and analytics leaders.
- Access a rich library of technical courses, certifications (e.g., Azure Data Engineer Associate), and conference sponsorships.
- Progress along a clearly defined career path—from entry‑level Data Engineer to Senior Data Architect, Analytics Lead, or Product Manager.
- Contribute to high‑visibility projects that directly influence product strategy and market performance.
Work Environment & Culture at talentflow
Our California office blends a vibrant, collaborative atmosphere with the flexibility of modern work arrangements. Key cultural pillars include:
- Innovation First: We encourage experimentation, rapid prototyping, and a “fail fast, learn faster” mindset.
- Inclusivity & Diversity: A welcoming environment where every voice is heard and diverse perspectives drive better outcomes.
- Continuous Learning: Regular tech talks, hackathons, and knowledge‑sharing sessions keep our teams at the forefront of industry trends.
- Work‑Life Balance: Competitive 8‑hour workdays, flexible scheduling, and generous paid time off support personal well‑being.
Compensation, Perks & Benefits
talentflow offers a competitive compensation package that includes:
- Base salary ranging from $70,000 to $80,000 per year, commensurate with experience and qualifications.
- Performance‑based bonuses tied to individual and company milestones.
- Comprehensive health, dental, and vision insurance plans.
- Retirement savings options with company matching contributions.
- Generous paid parental leave, paid holidays, and vacation days.
- Employee assistance programs, wellness initiatives, and on‑site fitness facilities.
- Professional development budget for certifications, courses, and industry conferences.
Application Process
Ready to launch your data career with talentflow? Follow these steps to apply:
- Review the official job notification on our careers portal.
- Prepare the required documents: a copy of your degree certificate with transcripts, a passport‑size photo, and a digital signature.
- Complete the online application form (link provided below).
- Upload your resume, cover letter, and the required documents.
- Submit your application and await a confirmation email.
Join talentflow Today
If you are passionate about data, eager to work with cutting‑edge cloud technologies, and thrive in a collaborative, fast‑paced environment, talentflow wants to hear from you. This is more than a job—it’s a launchpad for a rewarding career that will shape the future of one of the world’s most iconic brands.
Take the next step in your professional journey. Apply now and become part of the talentflow legacy.
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