Why talentflow?
At talentflow, we are redefining the way data fuels business decisions. As a global leader in digital transformation, we empower organizations across finance, healthcare, retail, and technology to turn raw information into actionable insight. Our remote‑first culture means you can work from anywhere in the United States while collaborating with a diverse team of data engineers, analysts, and business strategists who share a passion for precision, innovation, and continuous improvement. When you join talentflow, you become part of a forward‑thinking ecosystem that values curiosity, accountability, and the relentless pursuit of excellence.
Position Overview
We are urgently seeking a highly motivated Remote Data Entry Clerk / Online Chat Assistant who can blend meticulous data‑entry skills with sophisticated analytical capabilities. This hybrid role supports both the operational backbone of our data‑driven initiatives and the front‑line communication channels that keep our internal stakeholders and external partners informed. The ideal candidate will be comfortable navigating Power BI, Excel, SQL, and ETL tools while delivering prompt, courteous assistance through our online chat platform.
Key Responsibilities
- Data Creation & Maintenance: Generate new records, update existing entries, and execute ad‑hoc data‑coverage tasks that underpin business processes and decision‑making.
- Dashboard Development: Design, build, and maintain dynamic dashboards in Power BI and Excel that translate complex datasets into clear visual narratives for senior leadership.
- Data Quality Assurance: Develop and enforce rigorous data‑quality standards, conduct validation checks, and resolve inconsistencies across multiple source systems.
- Pipeline Construction: Create and manage scalable data pipelines from source applications to the data warehouse, ensuring seamless flow and integrity.
- Collaboration with Analysts & Engineers: Partner with Business Analysts, Data Engineers, and IT teams to capture requirements, document specifications, and obtain sign‑offs for new data assets.
- Data Storytelling: Apply data‑storytelling principles to craft compelling visualizations that highlight trends, anomalies, and opportunities using Power BI.
- Process Automation: Identify repetitive manual tasks and automate them using Power BI Dataflows, SSIS, or other ETL technologies to improve efficiency.
- Data Discovery & Mining: Work with IT and subject‑matter experts to discover, extract, and ingest new data sources, employing SQL, DAX, and M‑Code as needed.
- Metrics Validation: Review and validate key performance indicators, providing feedback to developers on metric definitions and data‑source reliability.
- Chat Support: Serve as the primary point of contact for internal users via the online chat platform, answering data‑related queries, troubleshooting issues, and guiding users through reporting tools.
- Documentation & Governance: Contribute to the Data Governance program by updating the data dictionary, maintaining lineage diagrams, and documenting data‑modeling decisions.
- Continuous Improvement: Proactively suggest enhancements to data models, reporting structures, and workflow processes based on observed patterns and stakeholder feedback.
Essential Qualifications
- Minimum 2 years of hands‑on experience performing comprehensive data analysis in a fast‑paced environment.
- Demonstrated expertise with Power BI, including building complex visualizations, using DAX expressions, and configuring filters, slicers, and drill‑throughs.
- Proficiency in SQL (writing advanced queries, stored procedures, and performance tuning) and familiarity with SQL Server Management Studio (SSMS).
- Experience with ETL tools such as SSIS, Power BI Dataflows, or comparable big‑data ingestion platforms.
- Solid understanding of data‑modeling concepts, especially star‑schema design and dimensional modeling.
- Ability to translate business requirements into technical specifications and deliver data solutions on schedule.
- Strong written communication skills for effective chat support and documentation.
- Self‑starter attitude with a proven track record of meeting deadlines in a remote setting.
Preferred Qualifications & Nice‑to‑Have Skills
- Experience with Power Query (M‑Code) for data transformation.
- Background in statistical analysis or predictive modeling using Python, R, or similar languages.
- Familiarity with project‑management tools such as Smartsheet, Asana, or Jira.
- Exposure to data‑governance frameworks and metadata management.
- Previous remote work experience with a proven ability to stay organized and productive.
- Certification in Microsoft Power BI, Azure Data Fundamentals, or related data‑analytics credentials.
Core Skills & Competencies
- Analytical Thinking: Ability to dissect large datasets, identify patterns, and derive actionable insights.
- Attention to Detail: Meticulous approach to data entry, validation, and documentation.
- Problem‑Solving: Creative mindset for troubleshooting data discrepancies and optimizing workflows.
- Communication: Clear, concise, and courteous interaction through chat, email, and written reports.
- Time Management: Prioritization of multiple tasks while adhering to project timelines.
- Collaboration: Comfortable working cross‑functionally with analysts, engineers, and business stakeholders.
- Adaptability: Quick to learn new tools, platforms, and industry best practices.
Career Growth & Learning Opportunities
talentflow invests heavily in employee development. As a Data Entry & Chat Assistant, you will have access to:
- Mentorship from senior data architects and business intelligence leaders.
- Paid tuition reimbursement for certifications in Power BI, Azure, or data‑science specializations.
- Quarterly internal hackathons that encourage innovative uses of data.
- Rotational programs that allow you to explore roles in data engineering, analytics, or product management.
- Regular knowledge‑sharing sessions, webinars, and a robust internal learning portal.
Work Environment & Culture at talentflow
Our remote‑first philosophy is built on trust, flexibility, and results. We provide:
- A collaborative virtual workspace with state‑of‑the‑art communication tools (Slack, Teams, Zoom).
- Flexible working hours that respect personal time zones and life commitments.
- A culture of inclusion where diverse perspectives are celebrated and every voice is heard.
- Monthly virtual coffee chats, team‑building games, and wellness challenges to foster community.
- Transparent leadership that shares company goals, performance metrics, and strategic direction.
Compensation, Perks & Benefits
talentflow offers a competitive salary package aligned with market standards for remote data‑analytics roles. In addition to base pay, you will receive:
- Performance‑based bonuses tied to project milestones and data‑quality improvements.
- Comprehensive health, dental, and vision coverage for you and eligible dependents.
- 401(k) retirement plan with company matching contributions.
- Generous paid time off (PTO) and paid holidays.
- Home‑office stipend to equip your workspace with ergonomic furniture and high‑speed internet.
- Employee assistance program (EAP) for mental‑health support.
- Access to a digital library of courses, industry conferences, and certification exam vouchers.
How to Apply
If you are ready to combine your data‑entry precision with analytical prowess and enjoy helping colleagues through real‑time chat support, we want to hear from you. Click the button below to submit your resume, cover letter, and any relevant portfolio items. Our talent acquisition team will review your application promptly and reach out to schedule a virtual interview.
Apply Now – Join talentflow Today!
Closing Statement
At talentflow, your work directly influences the strategic decisions of leading enterprises. By ensuring data integrity, building insightful dashboards, and providing exceptional chat support, you become an indispensable part of a mission‑driven organization that values your expertise and invests in your future. Take the next step in your career—apply now and help shape the data‑powered world of tomorrow.
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