1 sundaysky Job
SundaySky is Hiring a Data Analyst Near New York, NY
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.
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
Job Summary
Full Time
$109k-140k (estimate)
04/24/2024
05/12/2024
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Quotes from people on Data Analyst job description and responsibilities
A data analyst also helps the business use the present data to make better business decisions and deliver better services to consumers.
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Their role will be like to work on collaborative, multidisciplinary teams with leaders where they can review and analyze data and to develop the presentation for the data consumption across the organization.
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Data analysts work constantly with stakeholders, fellow colleagues and data suppliers, so good communication skills are essential.
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Many data analysts are required to create presentations of their findings to share with stakeholders and other key members of an organization.
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Gathered requirements, analyze data and create functional/technical specifications to functionality required by new business rules, regulations or standards change.
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Step 2: Knowing the best tips for becoming an Accountant can help you explore the needs of the position and prepare for the job-related knowledge well ahead of time.
Career tips from people on Data Analyst jobs
Data analysts typically work with existing data to solve defined business problems.
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Data analysts rely on various tools to collect and make sense of their data.
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Banks and financial firms need data analysts for financial reporting and forecasting.
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Data analysts often work directly with more senior data team members like data scientists or data engineers.
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Predictive analysis refers to a data analyst's ability to use data, machine learning and statistical algorithms to predict the likelihood of future outcomes based on previous historical data.
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Step 3: View the best colleges and universities for Data Analyst.
