Remote Data Analyst & Clerk – Data Entry & Insight Specialist (Full‑Time, Remote)

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About nexawork

At nexawork, we’re redefining the way businesses harness data to drive growth, innovation, and customer delight. Our mission is to empower organizations worldwide with cutting‑edge analytics solutions that turn raw numbers into actionable stories. With a culture rooted in curiosity, collaboration, and continuous learning, nexawork has become a trusted partner for Fortune 500 companies, fast‑growing startups, and public sector leaders alike.

We’re proud to offer a fully remote, flexible work environment that lets you thrive from anywhere in the world. Whether you’re a seasoned data professional or a recent graduate eager to dive into the world of analytics, nexawork provides the tools, mentorship, and career pathways to help you reach your full potential.

Position Overview

We’re seeking a highly motivated

Remote Data Analyst & Clerk

to join our dynamic analytics team. In this role, you will be the linchpin between raw data and strategic decision‑making, ensuring that every dataset is accurate, clean, and ready for analysis. You’ll collaborate with cross‑functional teams—including engineering, product, and business stakeholders—to uncover insights that shape product roadmaps, marketing strategies, and operational efficiencies.

As a key contributor, you’ll:

  • Collect, validate, and transform data from multiple sources.
  • Build dashboards and visualizations that tell compelling stories.
  • Apply statistical techniques to identify trends and patterns.
  • Communicate findings clearly to both technical and non‑technical audiences.

Key Responsibilities

    Data Acquisition & Cleansing:

    Gather data from internal databases, third‑party APIs, and external datasets. Perform rigorous data quality checks, resolve inconsistencies, and document data lineage.

      Data Transformation & Modeling:

      Use SQL, Python, or R to clean, merge, and reshape data into analysis‑ready formats. Build reusable data models and maintain data pipelines.

        Analytics & Insight Generation:

        Apply descriptive and inferential statistics to uncover actionable insights. Conduct exploratory data analysis to identify trends, outliers, and opportunities.

          Reporting & Visualization:

          Design and maintain interactive dashboards in Tableau, Power BI, or Google Data Studio. Create clear, concise reports that translate complex data into business‑relevant narratives.

            Stakeholder Collaboration:

            Partner with product managers, engineers, and marketing teams to understand data needs, define KPIs, and deliver insights that drive product and business decisions.

              Process Improvement:

              Identify bottlenecks in data workflows, propose automation solutions, and implement best practices for data governance.

                Documentation & Knowledge Sharing:

                Maintain comprehensive documentation of data sources, transformations, and analytical methodologies. Conduct knowledge‑sharing sessions for teammates.

                Essential Qualifications

                • Bachelor’s degree in Computer Science, Statistics, Mathematics, Data Science, or a related field.
                • 3+ years of experience in data analysis, data entry, or a similar role.
                • Proficiency in SQL for data extraction and manipulation.
                • Strong programming skills in Python or R for data cleaning, analysis, and automation.
                • Hands‑on experience with data visualization tools such as Tableau, Power BI, or Google Data Studio.
                • Solid understanding of statistical concepts and techniques (e.g., hypothesis testing, regression analysis).
                • Excellent written and verbal communication skills, with the ability to translate technical findings into business insights.
                • Demonstrated ability to work independently in a remote setting, managing time and priorities effectively.

                Preferred Qualifications

                • Master’s degree or higher in a quantitative discipline.
                • Experience with cloud data platforms (AWS, GCP, Azure) and data warehousing solutions (Snowflake, BigQuery).
                • Knowledge of data governance frameworks and data quality best practices.
                • Familiarity with machine learning concepts and libraries (scikit‑learn, TensorFlow).
                • Experience in a fast‑paced startup or tech environment.
                • Previous remote work experience with distributed teams.

                Skills & Competencies

                  Analytical Thinking:

                  Ability to dissect complex problems, identify root causes, and propose data‑driven solutions.

                    Technical Proficiency:

                    Advanced SQL, Python/R, and data visualization tools.

                      Attention to Detail:

                      Meticulous app

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                      1. HOW DO YOU PLAN YOUR DAY?

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