Data Analyst

Job Description

A LITTLE BIT ABOUT Boldr

• Boldr is the first global B-Corp dedicated to delivering world-class Client experiences while creating access to dignified, meaningful work in communities around the world.
• We are a global team, united by our desire to connect diverse people with common values for boldr impact. 
• We employ just over a thousand team members across five countries and we want to employ over 5,000 people by 2027, if not sooner.

LET’S START WITH OUR VALUES

• Meaningful connections start with AUTHENTICITY
• We do our best work by being CURIOUS
• We grow by remaining DYNAMIC
• Our success combines AMBITIOUS VISION with OPERATIONAL EXCELLENCE 
• At the heart of great partnerships, we’ll always find EMPATHY

WHAT IS YOUR ROLE 

As a Data Analyst, you will be responsible for operational analytics, dashboard maintenance, and execution of reporting processes within existing data workflows.

This is a mid-level analyst role focused on maintenance and support activities rather than strategic analytics design or advanced engineering work. The primary purpose of the role is to help the team stay out of the operational weeds by providing reliable analytical and reporting support.

You will work within established data pipelines while maintaining high standards of accuracy, confidentiality, and efficiency.

WHY WE WANT YOU 

We are currently looking for impact-driven individuals who are passionate about helping Boldr grow and achieve our Purpose. We expect our Team to become our ultimate partners to success by always giving their 110% in everything, sharing their talents and quirks, and championing our core values: Curious, Dynamic, and Authentic. 

WHAT WILL YOU DO

• Managing master data, including creation, updates, and deletion.
• Managing users and user roles.
• Provide quality assurance of imported data, working with quality assurance analysts if necessary.
• Commissioning and decommissioning of data sets.
• Processing confidential data and information according to guidelines.
• Helping develop reports and analyses.
• Managing and designing the reporting environment, including data sources, security, and metadata.
• Supporting the data warehouse in identifying and revising reporting requirements.
• Supporting initiatives for data integrity and normalization.
• Assessing tests and implementing new or upgraded software and assisting with strategic decisions on new systems.
• Generating reports from single or multiple systems.
• Troubleshooting the reporting database environment and reports.
• Evaluating changes and updates to source production systems.
• Training end-users on new reports and dashboards.
• Providing technical expertise in data storage structures, data mining, and data cleansing.

Requirements

WHAT WE’LL LIKE ABOUT YOU

YOU ARE… 

• Curious and authentic, just like us! #beboldr 
• Able to multitask and prioritize effectively.
• Adaptable to change and highly attentive to detail.
• Proactive and self-motivated.
• Strongly interested in learning operational analytics processes.
• Comfortable working in team-based and remote global environments.
• Able to accept feedback and apply it constructively.

YOU HAVE… 

• Approximately 3–5 years of experience in data analytics, BI reporting, or operational data support roles.
• Strong proficiency in Sigma as the primary BI tool.
• Experience performing dashboard maintenance and operational analytics.
• Working knowledge of Salesforce CRM data.
• Experience analyzing marketing campaign performance data.
• Ability to work with Google Ads and display advertising datasets.
• Exposure to Snowflake data warehouse environments is a plus.
• Familiarity with marketing automation or customer engagement data platforms is a plus.
• Understanding of data integration or pipeline-support workflows is preferred.
• Comfortable working within established data systems and collaborating with technical owners when deeper engineering work is required.
• Ability to translate business requirements into simple, non-technical language.
• Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, Information Management, or a related field is preferred but not mandatory.