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Sr. Data Analyst, Philadelphia, Pennsylvania(Onsite) at Philadelphia, Pennsylvania, USA
Email: [email protected]
http://bit.ly/4ey8w48
https://jobs.nvoids.com/job_details.jsp?id=445982&uid=

From:

Nikesh Mishra,

Stellent IT LLC

[email protected]

Reply to:   [email protected]

Sr. Data Analyst

Philadelphia, Pennsylvania(Onsite)

local candidates to the Philadelphia PA area are needed

No OPT, CPTs or F1s will be considered.

J:D:

The Sr. Data Analyst will work closely with office staff and management to compile and summarize broad statistical information for use in developing internal reports, funding proposals, and external communications to various stakeholders.

Sr. Data Analyst - job responsibilities include:

Collect, interpret, and analyze internal and external data.

Identify shortcomings in available datasets and develop collaborative collection methods to respond to long-term policy and other unit needs relating to caseload, workflow, and client outcomes.

Provide statistical commentary on external reports and publications to ensure proper interpretation.

Liaise with experts in the fields of civil/real estate, mathematics, and computer science on data projects relating to policing, indigent defense, and criminal justice.

Liaise between legal staff and IT department to ensure precise and accurate communication of data needs and availability.

Required experience includes:

7-10 years of Data Analysis skills in complex datasets

Fluent with R, Stata, Visual Basic, Mega Stat, or SPSS (fluency in at least one of these programs is essential).

Strong with Tableau, SQL and advanced Excel

Recent experience in cleaning data, preparing datasets, and ensuring data quality and integrity.

Skilled in mining and delivering descriptive statistics, with a working knowledge and desire to expand into exploratory and confirmatory data analysis projects.

Strong understanding of measurement theory and causal inference using non-experimental data.

Experience with multivariate analysis, including generalized linear models.

Ability to interpret and explain data collection processes and results to several distinct audiences with varying levels of education, technical proficiency, and comfort with statistics.

Demonstrated experience in all phases of research and analysis, including project conceptualization, data collection planning, implementation, data management, statistical analysis, and presentation to stakeholders.

Excellent written and interpersonal communications skills.

Keywords: rlang information technology Pennsylvania
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10:51 PM 25-Jul-23


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