Sr. Data Analyst at OnActive · Remote only · 8 - 12 years · ₹20L - ₹25L / yr · Bootstrapped · Remote only · Posted 5 Nov 2024

Senior Data Analyst
Experience: 8+ Years
Work Mode: Remote Full Time
Responsibilities:
• Analyze large datasets to uncover trends, patterns, and insights to support business goals.
• Design, develop, and manage interactive dashboards and reports using Power BI.
• Utilize DAX and SQL for advanced data querying and data modeling.
• Create and manage complex SQL queries for data extraction, transformation, and loading processes.
• Collaborate with cross-functional teams to understand data requirements and translate them into actionable solutions.
• Maintain data accuracy and integrity across projects, ensuring reliable data-driven insights.
• Present findings to stakeholders, translating complex data insights into simple, actionable business recommendations.
Skills:
Power BI, DAX (Data Analysis Expressions), SQL, Data Modeling, Python
Preferred Skills:
• Machine Learning: Exposure to machine learning models and their integration within analytical solutions.
• Microsoft Fabric: Familiarity with Microsoft Fabric for enhanced data integration and management.

About OnActive
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Similar jobs (10)
Job Summary
We are looking for an experienced professional with strong expertise in Power BI, Power Apps, Power Automate, Excel, data analysis, and executive reporting. The candidate will be responsible for developing interactive dashboards, automating business processes, analyzing data, and preparing management reports to support business decision-making.
Key Responsibilities
- Develop, maintain, and enhance interactive dashboards and reports using Power BI.
- Build Power Apps solutions to improve business processes and user productivity.
Required Technical Skills
- Power BI: Dashboard development, report creation, data modeling, and visualization.
- Power Apps: Canvas apps, forms, and business application development.
- Power Automate: Workflow automation, approvals, notifications, and process automation.
- Microsoft Excel: Advanced formulas, PivotTables, lookups, data cleaning, and analysis.
- Data Analysis: Data interpretation, trend analysis, KPI tracking, and business insights.
- Executive Reporting: Management dashboards, performance reports, and KPI presentations.
- DAX & Power Query: Data transformation, calculations, and report optimization.
Preferred Skills
- Experience integrating multiple data sources.
- Knowledge of Microsoft 365 and SharePoint.
- Understanding of business intelligence and reporting best practices.
- Strong analytical, problem-solving, and communication skills.
- Ability to interact with business stakeholders and senior management.
Experience and Qualification
- Minimum 5+ years of relevant experience in BI, data analytics, reporting, or Microsoft Power Platform.
- Hands-on experience with Power BI, Power Apps, Power Automate, and Excel.
Strong Data Analyst Profile with Python, SQL, and data-pipeline expertise, ideally with retail / e-commerce datasets
2
Mandatory (Experience 1): Must have 4+ years of hands-on data-analyst experience, working with large datasets across areas such as sales, inventory, pricing, promotions, and customer behaviour.
3
Mandatory (Tech skill 1): Must have strong hands-on Python for data processing, transformation, automation, and analysis
4
Mandatory (Tech skill 2): Must have strong SQL skills, including complex queries, joins, aggregations, and data validation.
5
Mandatory (Tech skill 3): Must have a solid understanding of Data Lake architecture, ingestion, storage, and processing workflows
6
Mandatory (Tech skill 4): Must have hands-on experience with ETL / ELT pipelines, data integration, and transformation
7
Mandatory (Tech skill 5): Must have experience with Azure or GCP data services.
8
Mandatory (Tech skill 6): Must have understanding of or experience with Databricks and distributed data processing.
9
Mandatory (Tech skill 7): Must have knowledge of data modeling, data warehousing, and Lakehouse architecture
10
Mandatory (Tech skill 8): Must have experience with Power BI, Tableau, or Excel for reporting.
11
Mandatory (Communication): Must have strong analytical, documentation, and stakeholder-communication skills.
12
Mandatory (Education): Must hold a Bachelor’s degree in Computer Science, IT, Engineering, or a related field.
13
Mandatory (Note1): This is a 6-month contract role. Candidate must be comfortable with the contract engagement and able to join immediately (urgent — onboarding within ~a week)
Job Title: Senior Data Analyst
Location: Sharnam Metrolinks, Amraiwadi, Ahmedabad
Working Days: 6 Days a Week
Department: MDO
Reporting To: COO
Employment Type: Full-Time
Job Summary
We are seeking a highly analytical and detail-oriented Senior Data Analyst to lead data management, reporting, automation, and system development initiatives across the organization.
The role focuses on transforming raw data into meaningful insights, designing and implementing automated systems, strengthening data structures, and supporting cross-functional teams with accurate, actionable intelligence to drive strategic and operational business decisions.
Key Responsibilities
1. Data Management & Reporting
● Collect, clean, validate, and consolidate data from multiple internal and external sources.
● Prepare and deliver daily, weekly, and monthly MIS reports for management and departments.
● Design, develop, and maintain dashboards to track KPIs, performance metrics, and operational trends.
2. Database & Data Accuracy Management
● Manage and regularly update internal databases, spreadsheets, and reporting systems.
● Ensure data accuracy, consistency, integrity, and confidentiality across all platforms.
● Implement best practices for data validation, version control, and audit checks.
3. Data Analysis & Business Insights
● Analyze large and complex datasets to identify trends, patterns, gaps, and anomalies.
● Translate data findings into clear, actionable insights and recommendations to support
strategic and operational decision-making.
4. Reporting Automation, System Recommendation & Implementation
● Identify opportunities to replace manual or semi-manual processes with automated, data-driven systems.
● Design and implement automated reporting frameworks, dashboards, and data pipelines using Excel (Power Query, VBA, Macros), SQL, BI tools, and Python.
● Proactively suggest new automation tools, system enhancements, or integrations to
improve efficiency, accuracy, and scalability.
● Lead the end-to-end implementation of approved automation initiatives, including requirement gathering, system design, testing, deployment, and stabilization.
● Continuously monitor and optimize automated systems in line with business growth and evolving data needs.
5. Cross-Functional Coordination & Support
● Collaborate with Sales, HR, Finance, Operations, and other departments to understand
reporting and data requirements.
● Provide support for ad-hoc analysis, custom reports, and special data requests.
● Act as a data partner to department heads for decision support and performance tracking.
6. Documentation & Compliance
● Maintain complete and updated documentation for MIS processes, reports, data models,
automation logic, and system changes.
● Ensure compliance with company data governance policies and applicable data protection standards.
System Development & Data Structuring Responsibilities
● Study and understand departmental workflows to evaluate how data is generated, processed, and utilized.
● Review existing manual and digital data systems to identify operational gaps, risks, and
mprovement opportunities.
● Recommend structured data models, reporting formats, and storage solutions aligned with
business requirements.
● Coordinate with department heads to define data structures, access levels, and reporting
standards.
● Implement new or upgraded data systems (Excel-based models, cloud platforms, ERP
integrations) with minimal operational disruption.
● Design structured data formats and role-based access controls to ensure secure and
organized data management.
● Train employees on newly implemented systems and provide post-implementation
support.
● Monitor system performance, resolve issues, and continuously improve systems based on
user feedback and organizational growth.
Qualifications & Experience
● Bachelor’s degree in Commerce, Statistics, Computer Applications, or a related field.
● 3–5 years of experience in data analytics, reporting, or system automation roles.
● Strong analytical thinking, logical reasoning, and problem-solving abilities.
● High attention to detail with excellent organizational and documentation skills.
Technical Skills (Must Have)
● Advanced Excel: Power Query, Power Pivot, VBA basics, Macros, Charts
● BI Tools: Power BI or Tableau (DAX, data modeling, dashboard optimization)
● Google Apps Script: Automation in Google Sheets, custom functions, triggers, API integrations, workflow optimization
● Vlook
Preferred Skills
● Strong verbal and written communication skills
● Ability to handle sensitive and confidential information responsibly
● Quick learner with a tech-savvy, improvement-driven, and solution-oriented mindset

Experience: 7–10+ years | Industry Preference: Financial Services / BFSI
Role Overview
We are seeking a Senior Reporting Analyst / Business Intelligence Lead to own and drive
enterprise reporting, analytics, and data insights across the organization. This is a senior,
hands-on role requiring deep technical expertise across the Microsoft data and BI stack,
strong business acumen, and the ability to operate with minimal hand-holding. The ideal
candidate will act as a bridge between business leadership and technical teams, translating
complex business questions into scalable, reliable data models and executive-ready insights.
Key Responsibilities
Serve as the primary owner of enterprise reporting and BI solutions, from data
ingestion through executive dashboards.
Design, build, and maintain scalable Power BI / Microsoft Fabric semantic models using
STAR schema best practices.
Partner closely with business stakeholders and C-level executives to define KPIs,
metrics, and reporting requirements.
Lead and present weekly reporting and insights sessions with senior and executive
leadership.
Ensure data accuracy, consistency, and trust across all reports and analytics outputs.
Proactively identify data quality issues, root causes, and remediation strategies.
Drive automation of reporting, alerts, and data refresh processes to reduce manual
effort.
Collaborate with engineering, data, and application teams to align business logic with
source system data structures.
Mentor junior analysts and establish BI standards, best practices, and documentation.
Technical Skills – Data & Backend
Advanced SQL: complex queries, views, stored procedures, and validation against
source systems (RDN, Recovery Connect).
Azure Data Factory: build and manage copy pipelines from SQL sources to data
warehouses / dedicated pools.
Incremental refresh, parameterized pipelines, and schema replication.
Data warehouse design: STAR schema, fact vs dimension tables, handling deleted
records and SCDs.
Technical Skills – Reporting & Frontend
Power BI / Microsoft Fabric: Power Query, DAX, and M language expertise.
Semantic model design (1-to-many, 1-to-1, many-to-1 relationships).
Query folding and performance optimization best practices.
Paginated Report Builder (SSRS-style) for automated Excel and PDF reporting.
Power Automate integration for alerts and workflow-driven notifications.
Data Quality & Analytics
Ability to clean, normalize, and reconcile data across multiple systems.
Strong troubleshooting skills when business definitions and data do not align.
Translate business terminology into accurate technical mappings and calculations.
Communication & Leadership
Serve as a key liaison between business stakeholders and technical teams.
Comfortable working directly with C-level executives and senior leadership.
Ability to lead executive-level meetings and clearly communicate insights.
Self-starter mindset with minimal hand-holding.
Qualifications
7–10+ years of experience in BI, analytics, or enterprise reporting roles.
Preferred experience in financial services or regulated environments.
Strong experience across the Microsoft BI ecosystem.
Preferred Certifications
Microsoft PL-300 (Power BI Data Analyst)
Microsoft DP-600 (Fabric Analytics Engineer)
Microsoft DP-700 (Fabric Data Engineer)
What Success Looks Like
Executive leadership trusts and relies on BI dashboards for decisions.
Reporting is automated, accurate, and scalable.
BI functions as a strategic partner to the business.
Job Summary
We are seeking a skilled and detail-oriented Power BI Developer to design, develop, and maintain enterprise-level BI solutions. The ideal candidate should have strong expertise in Power BI, DAX, SQL, Data Modeling, and performance optimization tools such as DAX Studio, Tabular Editor, and ALM Toolkit. The candidate will collaborate with business stakeholders to transform data into actionable insights and deliver high-quality dashboards and reports.
Key Responsibilities
- Design, develop, and maintain interactive Power BI dashboards and reports.
- Create complex DAX measures, calculated columns, and calculated tables to meet business requirements.
- Develop and optimize SQL queries, stored procedures, views, and ETL processes.
- Design and implement scalable Star Schema and Snowflake Data Models.
- Perform report and model performance tuning using DAX Studio.
- Utilize Tabular Editor for model management, calculation groups, best practice analysis, and metadata enhancements.
- Manage model deployment, comparison, and version control using ALM Toolkit.
- Configure and manage Power BI Workspaces, Apps, Gateways, and Security (RLS/OLS).
- Work extensively with Power BI Service/Web Experience, including dataset refresh schedules, deployment pipelines, subscriptions, and workspace administration.
- Collaborate with business users to gather and analyze reporting requirements.
- Ensure data accuracy, governance, security, and report performance.
- Troubleshoot data-related issues and implement effective solutions.
- Create technical documentation and provide knowledge transfer to support teams.
Required Skills
Technical Skills
- Strong experience in Microsoft Power BI Development.
- Expertise in DAX (Data Analysis Expressions).
- Advanced knowledge of SQL Server/T-SQL and query optimization.
- Strong understanding of Data Modeling concepts (Star Schema, Snowflake Schema, Fact & Dimension Tables).
- Hands-on experience with Tabular Editor.
- Experience using DAX Studio for model and query performance tuning.
- Experience with ALM Toolkit for model comparison and deployment.
- Strong understanding of Power BI Service/Web Experience.
- Knowledge of Power Query (M Language).
- Experience with Row-Level Security (RLS) and data governance.
- Understanding of data warehousing and ETL concepts.
We are looking for a skilled Power BI / Power Platform Analyst with experience in data analysis, dashboard development, automation, and executive reporting. The ideal candidate should be proficient in Power BI, Power Apps, Power Automate, and advanced Excel to transform business data into actionable insights and improve operational efficiency.
Responsibilities
- Develop interactive dashboards and reports using Power BI to support business decision-making.
- Build and maintain applications using Microsoft Power Apps to streamline business processes.
- Design automated workflows using Power Automate to reduce manual tasks and improve efficiency.
- Perform data analysis, data validation, and data cleansing using Excel and other relevant tools.
- Prepare executive-level reports, KPI dashboards, and management presentations.
- Gather reporting requirements from stakeholders and translate business needs into analytical solutions.
- Integrate data from multiple sources and ensure data accuracy and consistency.
- Identify trends, performance gaps, and opportunities for process improvement.
Required Skills
- Strong experience in Power BI, Power Apps, and Power Automate.
- Advanced Excel skills, including PivotTables, lookup functions, and data analysis.
- Experience in dashboard development, KPI tracking, and executive reporting.
- Strong analytical, problem-solving, and data interpretation skills.
- Good communication and stakeholder management skills.
- Knowledge of SQL, DAX, Power Query, and data modelling is an added advantage.
Business Intelligence Analyst - 2
Planview is the world leader in enterprise software planning for enterprise-wide deployment strategies, processes and resources. More than 4000 customers, among the world's largest and most respected companies, have successfully implemented Planview software to optimize their enterprise portfolio management, project, portfolio and resource management, business intelligence and expense tracking processes. We have had stable, organic growth for years and now need reinforcement.
Job Summary:
The Planview BI Team is seeking an experienced Business Intelligence Analyst – 2 to support, troubleshoot, optimize, and enhance business intelligence and reporting solutions built on Planview products.
This role focuses on advanced BI support across Power BI, Microsoft Fabric, SQL Server, SSAS, SSRS, OData, Dataflows, Data Pipelines, Data warehousing, and Data models. The BI Analyst – 2 will handle complex technical issues, perform advanced root-cause analysis and performance tuning, and work closely with customers and internal teams to deliver scalable BI solutions.
Key Responsibilities:
· Troubleshoot and resolve complex issues involving data accuracy, refresh failures, report behavior, connectivity, security, and performance across Power BI, SSRS, SSAS, SQL Server, OData, and Data warehousing layers.
· Perform advanced T-SQL development and performance tuning, including execution plans, indexing, query optimization, stored procedures, views, and complex queries.
· Support, develop, maintain, and optimize Power BI semantic models, DAX measures, Power Query, datasets, workspaces, gateways, refreshes, and Row-Level Security.
· Support and troubleshoot SSAS Tabular and Multidimensional models, including processing, calculations, relationships, security, and performance.
· Develop and troubleshoot advanced SSRS/paginated reports, including parameters, subreports, drill-through, expressions, pagination, subscriptions, and export formats.
· Support Microsoft Fabric solutions including Data Pipelines, Dataflows Gen2, Lakehouse/Warehouse, semantic models, and Power BI integration.
· Troubleshoot ETL/ELT processes, data pipelines, Dataflows, refresh failures, and data transformation issues across BI environments.
· Analyze and troubleshoot OData feeds, including filtering, pagination, refresh, connectivity, and large-volume data scenarios.
· Support Planview Automart, Datamart, and data warehouse implementations and ensure data consistency across source, warehouse, semantic, and reporting layers.
· Perform end-to-end root-cause analysis and performance optimization across the BI technology stack.
· Collaborate with customers, Product, Engineering, Hosting, and Support teams on complex technical issues and escalations.
· Provide technical guidance and mentoring to BI Analyst – 1 team members and contribute to BI best practices and documentation.
Required Skills & Qualifications:
· 5+ years of professional experience in Business Intelligence Development, BI Support, Data Analytics, or a related field.
· Strong hands-on experience with Power BI, DAX, Power Query, and enterprise data modeling.
· Advanced knowledge of SQL Server and T-SQL, including query optimization and performance tuning.
· Strong experience with SSRS and enterprise reporting.
· Experience with SSAS Tabular and/or Multidimensional models.
· Experience with Microsoft Fabric, particularly Data Pipelines, Dataflows, Lakehouse/Warehouse, and Power BI.
· Experience working with OData and enterprise data integration.
· Strong understanding of Data Warehousing, Datamarts, Automart, ETL/ELT, and data modeling.
· Experience troubleshooting Power BI Service, gateways, refreshes, security, and semantic models.
· Strong analytical, troubleshooting, and root-cause analysis skills.
· Proven ability to work directly with customers and communicate technical concepts to both technical and non-technical stakeholders.
· Experience with tools such as DAX Studio, Tabular Editor, Performance Analyzer, Query Store, or SQL Profiler is an advantage.
- Relevant Microsoft certifications such as PL-300, DP-600, or DP-203 are an added advantage.
Role Overview
We are seeking a Senior Reporting Analyst / Business Intelligence Lead to own and drive enterprise reporting, analytics, and data insights across the organization. This is a senior, hands-on role requiring deep technical expertise across the Microsoft data and BI stack, strong business acumen, and the ability to operate with minimal hand-holding. The ideal candidate will act as a bridge between business leadership and technical teams, translating complex business questions into scalable, reliable data models and executive-ready insights.
Key Responsibilities
· Serve as the primary owner of enterprise reporting and BI solutions, from data ingestion through executive dashboards.
· Design, build, and maintain scalable Power BI / Microsoft Fabric semantic models using STAR schema best practices.
· Partner closely with business stakeholders and C-level executives to define KPIs, metrics, and reporting requirements.
· Lead and present weekly reporting and insights sessions with senior and executive leadership.
· Ensure data accuracy, consistency, and trust across all reports and analytics outputs.
· Proactively identify data quality issues, root causes, and remediation strategies.
· Drive automation of reporting, alerts, and data refresh processes to reduce manual effort.
· Collaborate with engineering, data, and application teams to align business logic with source system data structures.
· Mentor junior analysts and establish BI standards, best practices, and documentation.
Technical Skills – Data & Backend
· Advanced SQL: complex queries, views, stored procedures, and validation against source systems (RDN, Recovery Connect).
· Azure Data Factory: build and manage copy pipelines from SQL sources to data warehouses / dedicated pools.
· Incremental refresh, parameterized pipelines, and schema replication.
· Data warehouse design: STAR schema, fact vs dimension tables, handling deleted records and SCDs.
Technical Skills – Reporting & Frontend
· Power BI / Microsoft Fabric: Power Query, DAX, and M language expertise.
· Semantic model design (1-to-many, 1-to-1, many-to-1 relationships).
· Query folding and performance optimization best practices.
· Paginated Report Builder (SSRS-style) for automated Excel and PDF reporting.
· Power Automate integration for alerts and workflow-driven notifications.
Data Quality & Analytics
· Ability to clean, normalize, and reconcile data across multiple systems.
· Strong troubleshooting skills when business definitions and data do not align.
· Translate business terminology into accurate technical mappings and calculations.
Communication & Leadership
· Serve as a key liaison between business stakeholders and technical teams.
· Comfortable working directly with C-level executives and senior leadership.
· Ability to lead executive-level meetings and clearly communicate insights.
· Self-starter mindset with minimal hand-holding.
Qualifications
· 7–10+ years of experience in BI, analytics, or enterprise reporting roles.
· Preferred experience in financial services or regulated environments.
· Strong experience across the Microsoft BI ecosystem.
Preferred Certifications
· Microsoft PL-300 (Power BI Data Analyst)
· Microsoft DP-600 (Fabric Analytics Engineer)
· Microsoft DP-700 (Fabric Data Engineer)
What Success Looks Like
· Executive leadership trusts and relies on BI dashboards for decisions.
· Reporting is automated, accurate, and scalable.
· BI functions as a strategic partner to the business.
DATABRICKS BI DEVELOPER / ENGINEER
Location: Remote
Experience: 5+ Years
Budget: Up to ₹25 LPA
Work Mode: Remote
Shift: US Eastern Time (ET) – Night Shift
Job Description
We are looking for an experienced Databricks BI Developer / Engineer with strong hands-on experience in Databricks and Apache Spark to support a dashboard migration project.
The primary responsibility will be migrating existing Tableau dashboards to Databricks AI/BI Dashboards.
Key Responsibilities
- Migrate existing Tableau dashboards to Databricks AI/BI Dashboards.
- Work with Databricks and Spark to analyse and process data.
- Understand business requirements and translate them into effective BI solutions.
- Collaborate with Databricks consultants, stakeholders, and technical teams.
- Handle ambiguous requirements and provide analytical solutions.
- Ensure dashboard accuracy, performance, and reliability.
- Communicate project progress and technical updates effectively.
Required Skills
- 5+ years of relevant professional experience.
- Strong hands-on experience with Databricks.
- Good experience with Apache Spark / PySpark.
- Experience with Tableau or other BI tools such as Power BI.
- Strong analytical and problem-solving skills.
- Excellent communication and stakeholder management skills.
- Ability to understand and work with evolving or ambiguous requirements.
- Willingness to learn Databricks AI/BI Dashboards quickly, if not already experienced.
Work Requirements
- Remote opportunity.
- Must be comfortable working in the US Eastern Time (ET) night shift.
- Budget: Up to ₹25 LPA.
About VerbaFlo.ai:
VerbaFlo.ai is a fast-growing AI SaaS startup revolutionizing how businesses leverage AI-powered solutions. As a part of our dynamic team, you’ll work alongside industry leaders and visionaries to drive innovation and execution across multiple functions.
Role Overview:
We are seeking a Senior Business Data Analyst with strong experience in analytics, SQL, and dashboarding (preferably Metabase) who can independently lead complex analytical initiatives, translate business problems into scalable data solutions, and mentor junior analysts. This role demands someone who can think strategically, operate with high ownership, and ensure the company runs on accurate, timely, and actionable insights.
Responsibilities:
Strategic & Cross-Functional Ownership
- Partner with leadership (Product, Ops, Growth, Finance) to translate business goals into analytical frameworks, KPIs, and measurable outcomes.
- Influence strategic decisions by providing data-driven recommendations, forecasting, and scenario modeling.
- Drive adoption of data-first practices across teams and proactively identify high-impact opportunity areas.
Analytics & Dashboarding
- Own end-to-end development of dashboards and analytics systems in Metabase (or similar BI tools).
- Build scalable KPI frameworks, business reports, and automated insights to support day-to-day and long-term decision-making.
- Ensure data availability, accuracy, and reliability across reporting layers.
Advanced Data Analysis
- Write, optimize, and review complex SQL queries for deep-dives, cohort analysis, funnel performance, and product/operations diagnostics.
- Conduct root-cause analysis, hypothesis testing, and generate actionable insights with clear recommendations.
Data Infrastructure Collaboration
- Work closely with engineering/data teams to define data requirements, improve data models, and support robust pipelines.
- Identify data quality issues, define fixes, and ensure consistency across systems and sources.
Leadership & Process Excellence
- Mentor junior analysts, review their work, and establish best practices across analytics.
- Standardize reporting processes, create documentation, and improve analytical efficiency.
Core Requirements:
- 5–8 years of experience as a Business Analyst, Data Analyst, Product Analyst, or similar role in a fast-paced environment.
- Strong proficiency in SQL, relational databases, and building scalable dashboards (Metabase preferred)
- Demonstrated experience in converting raw data into structured analysis, insights, and business recommendations.
- Strong understanding of product funnels, operational metrics, and business workflows.
- Ability to communicate complex analytical findings to both technical and non-technical stakeholders.
- Proven track record of independently driving cross-functional initiatives from problem definition to execution.
- Experience with Python, Git, or BI tools like Looker/Power BI/Tableau.
- Hands-on with data warehouses (BigQuery, Redshift, Snowflake).
- Familiarity with product analytics tools (Mixpanel, GA4, Amplitude).
- Exposure to forecasting, financial modeling, or experimentation (A/B testing).
Why Join Us?
- Work directly with top leadership in a high-impact role.
- Be part of an innovative and fast-growing AI startup.
- Opportunity to take ownership of key projects and drive efficiency.
- A collaborative, ambitious, and fast-paced work environment.
- Perks & Benefits: gym membership benefit, workation policy, and company-sponsored lunch.
If you’re looking for an exciting role that combines strategy, execution, and leadership exposure, we’d love to hear from you!
Apply now to join VerbaFlo.AI on this journey.












