Peak Support, an outsourcing firm serving some of today’s most innovative companies, is seeking an Analytics Developer to join our team in the Philippines.

Peak Support manages customer service and back-office teams for high-growth companies. Founded in 2015, we are a 4x Inc. 5000 company and a Certified Great Place to Work, with 2,000 team members in the Philippines, Colombia, Eastern Europe, and the U.S.
 

Why Peak Support?

If you want to work for high-growth companies, Peak Support is the place to be. Our clients range from early-stage startups with fewer than five employees to unicorns with valuations well over $1 billion to old-line companies re-imagining themselves. We have been profitable from day one and we are proud that in our first five years, we grew entirely through client referrals.

We are dedicated to providing exceptional service to our clients AND an exceptional work environment for our team members. We don’t do this with ping pong tables or video games. We do it by creating a positive, encouraging and performance-driven culture that enables our team members to build rewarding, long-term careers.

Peak Support is actively working to create a diverse, equitable and inclusive company. Applicants will be considered without regard to race, color, religion, gender, gender identity or expression, disability, sexual orientation, national origin, age, or veteran status.

Work from Home PLUS

Peak Support offers all the convenience of working from home, with the benefits of working for an established organization with an exceptional team and tremendous opportunities for growth.

Peak Support has been 100% remote since day one, so we have built a culture and a set of processes that support the success of our remote team members. When we can, we get together in person. We believe that building offline relationships is critical to successful online work.

The Analytics Developer will be responsible for developing, deploying, and maintaining analytics solutions to help the business gain insights from complex datasets. This role requires expertise in data processing, visualization, and working with data engineers and stakeholders to create impactful reporting and dashboards.

Key Responsibilities:

• Develop and implement data models, dashboards, and reports to support business analytics requirements. 
• Design and develop SQL queries, data pipelines, and data transformation processes to prepare data for analysis. 
• Create interactive and insightful dashboards using business intelligence tools like Power BI, Tableau, or Looker. 
• Collaborate with cross-functional teams (e.g., data engineering, business intelligence, marketing, and operations) to understand requirements and deliver analytics solutions. 
• Optimize SQL queries and data processes for maximum performance and efficiency. 
• Troubleshoot data issues and provide solutions to resolve data inconsistencies or discrepancies. 
• Analyze large datasets, generate insights, and provide recommendations to business stakeholders. 
• Stay up-to-date with the latest trends in analytics and data visualization technologies. 
• Ensure data security, privacy, and compliance with relevant industry standards. 
• Support ad-hoc reporting and analysis as requested by business leaders. 

Qualifications: 

• 2+ years of experience in analytics development, business intelligence, or related field. 
• Strong proficiency in SQL (including complex queries, joins, and optimizations). 
• Experience with BI tools such as Power BI, Tableau, or Looker. 
• Hands-on experience with Python or R for data manipulation and analysis. 
• Familiarity with data modeling and ETL (Extract, Transform, Load) processes. 
• Strong understanding of databases and data warehousing concepts. 
• Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) is a plus. 
• Good knowledge of statistics and data analysis techniques. 
• Ability to communicate complex technical concepts to non-technical stakeholders. 
• Strong problem-solving and analytical thinking skills. 

Preferred Skills: 

• Experience in big data technologies (Hadoop, Spark, etc.) is a plus. 
• Familiarity with advanced analytics techniques (machine learning, predictive analytics). 
• Knowledge of data governance and data quality practices. 
• Experience with version control tools (e.g., Git). 

Personal Attributes: 

• Strong communication and collaboration skills. 
• Attention to detail and a strong focus on data accuracy. 
• Ability to work independently and as part of a team. 
• A proactive approach to learning and problem-solving.