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About nexawork
nexawork is a forward‑thinking technology partner that empowers businesses to transform data into decisive action. With a portfolio that spans dynamic e‑commerce platforms, cutting‑edge digital media solutions, and next‑generation analytics services, nexawork is at the forefront of the data revolution. Our mission is simple: turn raw information into strategic advantage. We do this by building robust data pipelines, delivering actionable insights, and fostering a culture of curiosity and continuous improvement.
Role Overview
As a Senior Scale Operations & Data Analyst, you will be the linchpin that connects data science, engineering, and business strategy. You will own the end‑to‑end data lifecycle—from ingestion and cleansing to modeling and storytelling—while also ensuring that our scale operations run with precision and efficiency. This is a full‑time, hybrid role that blends analytical rigor with hands‑on operational excellence.
Why nexawork?
- Work with a high‑impact team that shapes product strategy and drives revenue growth.
- Access to state‑of‑the‑art tools (SQL, Python, R, Tableau, Power BI, Snowflake, dbt).
- Opportunities for continuous learning—internal bootcamps, conference sponsorships, and mentorship.
- A culture that celebrates innovation, collaboration, and transparency.
- Competitive salary, equity, and comprehensive benefits package.
Key Responsibilities
- Data Engineering & Operations – Design, implement, and maintain scalable data pipelines that ingest, transform, and store data from multiple sources.
- Advanced Analytics – Apply statistical techniques, machine learning models, and hypothesis testing to uncover trends, forecast demand, and recommend optimizations.
- Performance Metrics & Dashboards – Build and maintain real‑time dashboards that track key performance indicators (KPIs) for product, marketing, and finance teams.
- A/B Testing & Experimentation – Design, run, and analyze experiments to validate product changes and marketing initiatives.
- Data Quality & Governance – Identify data integrity issues, develop remediation plans, and enforce data governance policies.
- Stakeholder Collaboration – Translate business questions into data requirements, present findings, and influence decision‑making across the organization.
- Documentation & Knowledge Sharing – Create clear documentation for data pipelines, models, and dashboards; conduct training sessions for non‑technical teams.
Essential Qualifications
- Minimum 1 year of professional experience in data analysis, preferably within the digital media, e‑commerce, or technology sector.
- Proficiency in SQL for data extraction and manipulation.
- Hands‑on experience with Python or R for data wrangling, statistical analysis, and model development.
- Strong foundation in statistical modeling, hypothesis testing, and experimental design.
- Experience with data visualization tools such as Tableau, Power BI, or Looker.
- Excellent communication skills—capable of translating complex data insights into actionable business recommendations.
- Team player with a proactive, solution‑oriented mindset.
Preferred Qualifications
- Experience with ETL/ELT frameworks (e.g., dbt, Airflow, Prefect).
- Knowledge of cloud data platforms (Snowflake, BigQuery, Redshift).
- Familiarity with machine learning libraries (scikit‑learn, TensorFlow, PyTorch).
- Background in product analytics or growth hacking.
- Prior exposure to scalable web infrastructure (Kubernetes, Docker).
- Experience in a fast‑paced startup environment with cross‑functional teams.
Skills & Competencies
- Analytical Thinking – Ability to dissect complex problems and derive data‑driven solutions.
- Technical Proficiency – Comfortable writing clean, maintainable code and SQL queries.
- Business Acumen – Understand how data insights translate into revenue, cost savings, or customer experience improvements.
- Project Management – Prioritize tasks, manage timelines, and deliver high‑quality outputs under tight deadlines.
- Collaboration & Influence – Work effectively with product managers, engineers, marketers, and executives.
- Continuous Learning – Stay updated on emerging data tools, techniques, and industry best practices.
Career Growth & Learning Opportunities
nexawork is committed to nurturing talent. As a Senior Scale Operations & Data Analyst, you will have the chance to:
- Progress into leadership roles such as Data Lead, Analytics Manager, or Head of Data.
- Take ownership of high‑impact projects that shape product strategy and company direction.
- Participate in internal hackathons and cross‑team initiatives.
- Attend industry conferences (e.g., Strata, PyData, Tableau Conference) with sponsorship.
- Engage in continuous education through online courses, certifications, and internal workshops.
Work Environment & Culture
At nexawork, we believe that a vibrant culture fuels innovation. Our environment is characterized by:
- Open communication channels—weekly town halls, Slack channels, and transparent decision‑making.
- Flexibility—remote work options, flexible hours, and a results‑oriented approach.
- Diversity & Inclusion—commitment to building a workforce that reflects a wide range of perspectives.
- Wellness initiatives—gym memberships, mental health days, and regular team retreats.
- Recognition programs—peer awards, spot bonuses, and public shout‑outs for exceptional contributions.
Compensation & Benefits
While specific figures vary by location and experience, nexawork offers a competitive salary range that aligns with industry standards. In addition to base pay, you will receive:
- Equity options to share in the company’s growth.
- Comprehensive health, dental, and vision insurance.
- Generous paid time off and holiday schedule.
- 401(k) plan with company match.
- Professional development budget and conference reimbursement.
- Flexible work arrangements and remote work stipend.
How to Apply
Ready to join nexawork and make data-driven decisions that shape the future? Submit your resume, cover letter, and salary expectations to nexawork Careers. We look forward to exploring how your expertise can elevate our data capabilities.
Closing Statement
If you thrive on turning complex data into clear, actionable insights, and you’re excited to drive operational excellence in a fast‑moving environment, nexawork is the place for you. Join us and be part of a team that values curiosity, collaboration, and continuous improvement. Apply today and help us turn data into a competitive advantage for the next generation of digital experiences.
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