About SundaySky
Sourced by ZipRecruiter
Industry
Software development
Company size
51 - 200 Employees
Headquarters location
New York, NY, US
Year founded
2006
Job description
SundaySky has a unique and exciting opportunity to join an analytics group for a rapidly growing startup. Our product combines digital technology, advertising, consumer relationship management, and big data for the most recognizable brand names across multiple industries. We are seeking an energetic, self-starter that combines an analytical mind with creative problem-solving skills to use data to drive success. The ideal candidate approaches analysis as a path to strategic thinking that culminates in actionable insights. If you're the kind of person who obsesses over details, thrives in a dynamic, fast-paced collaborative startup environment, wants an opportunity to make a significant impact and jumps at the opportunity to take on new challenges, SundaySky is the place for you.
In a fast paced, ever-changing environment, you will be involved in the following -
Requirements:
The ideal candidate will have the following experience and skillset:
In a fast paced, ever-changing environment, you will be involved in the following -
- Building proactive analysis through data mining to identify trends and opportunities for product optimization.
- Finding areas of opportunity to drive revenue in a digital advertising campaign.
- Proving value to strategic clients by developing data-driven stories in dynamic presentations.
- Discovering best practices to reduce subjectivity, display industry leadership, and further develop our product.
- Developing a reporting platform to provide a unified view of results through dashboards and reports that will be accessed by all levels within SundaySky.
- Maintaining data integrity working closely with R&D to organize and store data in a format that provides accurate data and allows the business to quickly identify both data and operational issues.
- Packaging and presenting analytical findings and clearly communicating (both written and verbal) program results and complex concepts to success managers, marketing, sales team, and the end client in both statistical and non-statistical terms.
- Supporting sales and success management teams by providing data-driven industry overviews, information on research products, assisting with trouble-shooting issues, and answering questions that may arise from data issues and reports.
- Become an expert in industry, customer and SundaySky measurement methodologies.
Requirements:
The ideal candidate will have the following experience and skillset:
- Minimum 3 years of experience in business analytics or digital advertising environment
- Competency in statistical analytic techniques such as: time series data analysis, forecasting segmentation, univariate & multivariate statistical analysis, various metrics and key performance indicators, research & test design, significance testing, hypothesis testing, variance and growth calculations, return on investment
- Project management skills, including the abilities to handle multiple projects in a fast-paced environment and work effectively with colleagues and clients in diverse departments, geographic locations, and time zones. Balances desire for quantitative rigor with realities of inconsistent business data
- Critical thinking: capable of generating consistently accurate, useful reports as well as enthusiasm for translating data into actionable insight relevant to marketing program objectives
- Experience with the following tools:
- MS Office: Advanced Excel (Pivot tables, advanced macros, etc.) and PowerPoint
- BI & Analytics Tools (Tableau, MicroStrategy, SAS)
- Web analytics tools: Google Analytics, Omniture, DART, Coremetrics, etc.
- Open source statistical software: R or Python (similar to SAS, SPSS, etc.)
- Database (SQL, MySQL, NoSQL, Splunk, etc.)
- Experience with data visualization and/or an eye for design
- Proactive, independent thinker with high energy and positive attitude
- Bachelor's degree (B.A. or B.Sc.) or equivalent.
- Experience with ecommerce / digital advertising best practices
- Willingness to take coaching for continuous personal development
- Experience working with a distributed team of Sales managers, project managers and technical support.
- Must be authorized to work in the US
sundaysky.com
Frequently asked questions
Q: What skills or qualities help someone succeed as a Data Analyst?
A: To succeed as a Data Analyst, key technical skills include proficiency in programming languages such as Python or R, expertise in data visualization tools like Tableau or Power BI, and knowledge of statistical analysis and machine learning concepts. Additionally, strong soft skills like effective communication, problem-solving, and collaboration are crucial for presenting insights to stakeholders and working with cross-functional teams. By combining these technical and soft skills, Data Analysts can drive business decisions, identify areas for improvement, and contribute to the growth and success of their organization.
Q: What is the career path for a Data Analyst?
A: A Data Analyst's typical career progression involves starting as an Entry-Level Data Analyst, where they collect, analyze, and interpret data to inform business decisions. As they gain experience, they can move into Mid-Level roles such as Senior Data Analyst or Business Analyst, where they take on more complex projects and lead smaller teams. Ultimately, they can advance to Senior Leadership positions like Data Scientist, Data Manager, or even Director of Analytics, where they oversee large-scale data initiatives and drive strategic business growth.\n\nKey opportunities for skill development and professional growth in this role include learning programming languages like Python or R, mastering data visualization tools like Tableau or Power BI, and staying up-to-date with emerging trends in machine learning and artificial intelligence. Additionally, Data Analysts can develop soft skills like communication, project management, and leadership to excel in their roles.\n\nLong-term career prospects for Data Analysts are diverse, with potential directions including transitioning into related fields like Business Intelligence, Data Engineering, or even becoming a Product Manager, or pursuing advanced degrees in Data Science or related fields to further specialize in areas like machine learning or data engineering.
