Data Analyst

About Mitsogo | Hexnode

Mitsogo is a global organization that highly values the contributions of each employee. Our ability to attract top talent is a testament to our commitment to fostering a sense of belonging for everyone. We recognize the rapid evolution of technology and society that impacts our industry, and we prioritize equipping our employees with diverse opportunities and empowering them with a wide range of skills.

Hexnode, the Enterprise software division of Mitsogo Inc., was founded with a mission to simplify the way people work. Operating in over 100 countries, Hexnode UEM empowers organizations in diverse sectors. Fueling the transformation to a seamless ecosystem of connected tools, Hexnode is revolutionizing the enterprise software and cybersecurity landscape.

Role Summary

We are seeking a highly analytical and detail-oriented Data Analyst to be the definitive owner of our marketing performance data. You will be responsible for extracting, transforming, and modeling data from various sources (CRM, Marketing Automation, Web Analytics) to build insightful dashboards, report on key metrics, and provide strategic recommendations that optimize marketing ROI and efficiency. Expertise in Tableau is essential for success in this role.

Key Responsibilities
Data Management & Reporting

• Dashboard Development: Design, build, and maintain interactive and automated Tableau dashboards and visualizations that clearly communicate marketing performance, pipeline health, and campaign results to stakeholders across Marketing and Sales.

• Data Integrity & Governance: Own the quality, accuracy, and consistency of all marketing data within our data warehouse and reporting tools. Develop processes for data validation and reconciliation across systems (e.g., ensuring CRM and Marketing Automation data align).

• Data Modeling: Extract, clean, and structure raw data from disparate marketing sources (e.g., Google Analytics, Marketo/HubSpot, Salesforce, advertising platforms) using SQL or other ETL/ELT tools.

Performance Analysis & Insights

• Metric Deep Dive: Conduct deep-dive analyses on critical marketing metrics, including Customer Acquisition Cost (CAC), Lifetime Value (LTV), lead conversion rates, MQL-to-SQL velocity, and campaign ROI.

• Optimization Recommendations: Proactively identify trends, anomalies, and areas for improvement within our marketing spend and execution. Present clear, data-backed recommendations to marketing leaders to enhance campaign effectiveness and channel performance.

• Ad-Hoc Analysis: Support marketing managers with urgent, specialized analytical requests related to new product launches, A/B tests, and budget forecasting.

Tool & System Expertise

• Tableau Expertise: Serve as the primary subject matter expert for Tableau (or similar BI tools like Power BI, Looker) within the Marketing team, driving best practices for data visualization and report consumption.

• Tool Proficiency: Utilize and integrate data from core marketing systems, including Salesforce (or other CRM) and a Marketing Automation Platform (e.g., Marketo, HubSpot).

• SQL Mastery: Write complex SQL queries to query, manipulate, and join large datasets stored in our data warehouse ([e.g., Snowflake, Google BigQuery, Redshift]).

Required Skills & Qualifications

• Experience: 2-4 years of experience in a Data Analyst, Business Intelligence, or Analytics role, specifically focused on Marketing, Sales, or B2B/eCommerce data.

• BI Tool Proficiency: Advanced proficiency in data visualization and dashboard creation using Tableau (Portfolio examples or certifications are a strong plus).

• SQL Mastery: Expert-level ability to write complex and efficient SQL queries for data extraction and manipulation.

• Data Systems: Proven experience working with data from major marketing platforms (e.g., Google Analytics, advertising APIs, Marketing Automation systems).

• Communication: Excellent verbal and written communication skills with the ability to explain complex analytical concepts and insights to non-technical audiences.

• Education: Bachelor's degree in a quantitative field such as Mathematics, Statistics, Computer Science, Economics, or similar.

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