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Role: Data Analyst (SQL, Exploratory & Predictive Analysis)
Location: Charlotte, NC
Day 1 Hybrid Onsite
Responsibilities:
Qualifications:
Preferred Skills:
We can offer you:
SYNECHRON’S DIVERSITY & INCLUSION STATEMENT:
Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Synclusive’ is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more.
All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.
Thanks and Regards
Vikarant Kumar
Full Time
$100k-131k (estimate)
07/03/2024
07/18/2024
synechron.com
NEW YORK, NY
7,500 - 15,000
2001
Private
KEITH MAITLAD
$500M - $1B
IT Outsourcing & Consulting
Synechron is a provider of digital, business consulting and technology services for organizations.
The following is the career advancement route for Data Analyst (SQL, Exploratory & Predictive Analysis) positions, which can be used as a reference in future career path planning. As a Data Analyst (SQL, Exploratory & Predictive Analysis), 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 (SQL, Exploratory & Predictive Analysis). You can explore the career advancement for a Data Analyst (SQL, Exploratory & Predictive Analysis) 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.
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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.
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.
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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.