As a Data Analyst, you will play a critical role in collecting, transforming, and analyzing data from various sources to provide actionable insights and support informed decision-making across the organization. You will collaborate closely with cross-functional teams to understand business requirements, design data pipelines, and develop analytical solutions that drive value and drive performance.
- Automating feeds from multiple data sources.
- Compiling, analyzing, and reporting sales data.
- Leveraging APIs to enable central reporting.
- Writing SQL/MySQL scripts to create automated data feeds.
- Leveraging R and/or Python for advanced analytics.
- Leveraging AI/ML to automate insights and actions for sales and marketing.
- Make recommendations for data collection/quality improvements in CRM and work with CRM owner to implement CRM solutions.
- Deliverables in collaboration with a visualization specialist will include dashboards and reporting for:
- Identifying cross-selling opportunities
- Scoring and prioritizing accounts for sales and marketing
- Identifying buying committee trends
- Identifying warm accounts in need of action
- Performance analysis on digital advertising, email campaigns, website traffic and engagement, etc.
- Analysis on most and least successful campaigns
- Client/prospect segmenting based on funnel engagement
- Budgeting
- 3-5+ years of data analyst experience working with sales/marketing data.
- Ability to use R or Python and write SQL scripts (ideally SQL code).
- Hands-on experience with ETL tools and familiarity with data integration techniques and best practices.
- Advance data analytical skills and experience using statistical analysis and data visualization tools like Tableau to extract insights from complex datasets.
- A Life Sciences background is highly preferred but not required.
- Proficiency in MS Office and CRM software (SugarCRM a plus).
- A minimum of C1 Level English.
- Strong communication and presentation skills are a must.
- Experience combining and comparing multiple data sets from different sources.
- Ability to work independently and with cross-functional teams.
- Adaptable - able to wear many hats to make an impact in many areas.
- Minimum Bachelor's degree or its equivalent, with a preference for Data Analysis/Data Science, Software Engineering, Marketing, or other relevant fields.
- Master in Business Analytics preferred.
About SaaS Talent
PhillyTech is rebranding to SaaS Talent - Our vision at SaaS Talent is to be the #1 resource to help SaaS and Hi-Tech companies with recruiting, hiring and lead generation. We were founded in 2015 and have been passionately working with 100+ clients in the SaaS and Hi-Tech Industry for 24+ years. PhillyTech is your "Growth Partner" and the industry leader in building Growth Solutions in Hiring and Lead Generation that drive revenue, increase productivity and lower costs.
Reach out to us at www.phillytech.co to learn more about how we can help you.
