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Stagwell Marketing Cloud (SMC) is a suite of data-driven SaaS solutions built for the modern in-house marketer. Born out of Stagwell’s network of award-winning agencies, SMC’s products empower marketers to drive business and brand impact by giving them intuitive tools equipped with actionable proprietary data. SMC’s portfolio of solutions powers strategic customer research, communications, and media activation for brands worldwide. Get your head in the cloud at www.stagwellglobal.com/smc. The Data Analyst will work alongside internal customers to conduct data investigation, research, data management and data reporting. The Data Analyst is responsible for building automated reports that allow for self-service data exploration. This person will also assist in conducting ad hoc analysis to answer specific business questions that may eventually require automated report development. You will be instrumental in analyzing data discrepancies and data lineage in our data asset acquisition life cycle and assist with solving data problems. This is a terrific opportunity for someone who is interested in joining a lean, innovative group with the possibility of tremendous career development in data engineering and data asset management. Responsibilities:
Skills/Qualifications:
Additional Preferred Qualifications
In order to comply with equal pay and salary transparency laws in various locations, we believe the target range of base compensation in New York City for this role is $104,000 - $130,000. Actual compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, and location.
In addition to medical, dental and vision coverage, we offer a generous PTO plan, 401k program, comprehensive family planning benefits (including paid parental leave), tuition reimbursement, and pre-tax commuter benefits. Benefits/perks may vary depending on the nature of your employment with Stagwell and the location where you work.
Full Time
$116k-152k (estimate)
12/08/2023
11/28/2024
The following is the career advancement route for Data Analyst positions, which can be used as a reference in future career path planning. As a Data Analyst, it can be promoted into senior positions as a Data Analyst IV that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Data Analyst. You can explore the career advancement for a Data Analyst below and select your interested title to get hiring information.
If you are interested in becoming a Data Analyst, you need to understand the job requirements and the detailed related responsibilities. Of course, a good educational background and an applicable major will also help in job hunting. Below are some tips on how to become a Data Analyst for your reference.
Step 1: Understand the job description and responsibilities of an Accountant.
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.
12/10/2021: Lynchburg, VA
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.
02/10/2022: Temple, TX
Data analysts work constantly with stakeholders, fellow colleagues and data suppliers, so good communication skills are essential.
12/21/2021: New London, CT
Many data analysts are required to create presentations of their findings to share with stakeholders and other key members of an organization.
12/24/2021: Alamogordo, NM
Gathered requirements, analyze data and create functional/technical specifications to functionality required by new business rules, regulations or standards change.
03/03/2022: Santa Maria, CA
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.
02/20/2022: Laramie, WY
Data analysts rely on various tools to collect and make sense of their data.
01/17/2022: Melbourne, FL
Banks and financial firms need data analysts for financial reporting and forecasting.
03/04/2022: Akron, OH
Data analysts often work directly with more senior data team members like data scientists or data engineers.
03/02/2022: Grand Forks, ND
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.
02/26/2022: Las Vegas, NV
Step 3: View the best colleges and universities for Data Analyst.