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Sustainable Engineering Services
Fort Lee, NJ | Full Time
$106k-138k (estimate)
3 Months Ago
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Fort Lee, NJ | Full Time
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Data Analyst
$106k-138k (estimate)
Full Time 3 Months Ago
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Sustainable Engineering Services is Hiring a Data Analyst Near Fort Lee, NJ

Sustainable Engineering Services values work life balance and employee safety. We provide a flexible working environment and believe that our team is our greatest asset. Currently our team is working on a hybrid schedule, with multiple layers of COVID-19 safety precautions in place at the office.

The first assignment for this position requires full-time in office presence supporting one of our clients in their digital transformation efforts.

Responsibilities:

  • Structure large data sets to find usable information

  • Collect, review and maintain data to monitor pre-established KPIs

  • Create reports for internal teams and/or external clients

  • Collaborate with team members to collect and analyze data

  • Use graphs, infographics and other methods to visualize data

  • Work with a team of analysts and other associates to process information

  • Create presentations and reports based on recommendations and findings

Requirements:

  • Bachelors Degree in Information Management, Computer Science, Mathematics, Economics or Finance

  • Knowledge of data gathering, cleaning and transforming techniques

  • Ability to develop front end and back end solutions

  • Reporting and data visualization skills using Power BI

  • Ability to reverse-engineer and modify existing spreadsheets and dashboards

  • Understanding of data warehousing and ETL techniques

  • Coding skills in languages such as SQL, Python and/or R

  • Analytical and problem-solving skills

  • High proficiency in Microsoft Excel

  • High proficiency in Microsoft Sharepoint

  • Ability to set and meet deadlines

  • Technical writing skills

  • Excellent attention to detail

  • Strong written/verbal communication skills

  • Ability to QA and troubleshoot data

Job Summary

JOB TYPE

Full Time

SALARY

$106k-138k (estimate)

POST DATE

03/15/2024

EXPIRATION DATE

06/11/2024

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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.

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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.

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