Gravity IT Resourcing Jobs (3)

Apply Now

Job Title : Okta Security Analyst

Location : Remote

Job Type : Contract

Referral Fee :

Salary Range : 115-145k

Employment Eligibility : Gravity cannot transfer nor sponsor a work visa for this position. Applicants must be eligible to work in the U.S. for any employer directly

Position Overview

Our client is seeking a skilled Okta IAM Security Analyst / Specialist to join their team. This person will have Expertise in OKTA, Access Gateway, Single Sign-On, Adaptive MFA, Universal directory, Advanced Server Access, API Access Management, Secure authentication, access management systems, Identity as a Service (IDaaS), WS-Federation, OAuth, OpenID Connect and Life Cycle Management to support design, implementation and support for end to end deployment.

Duties and Responsibilities

• Expertise in OKTA, Access Gateway, Single Sign-On, Adaptive MFA, Universal directory, Advanced Server Access, API Access Management, Secure authentication, access management systems, Identity as a Service (IDaaS), WS-Federation, OAuth, OpenID Connect and Life Cycle Management.
• Extensive and demonstrated experience in end-to-end deployment of OKTA solution.
• Experience with OKTA planning, implementation, and operations.
• Experience in integrating Okta with on-premises directory and Cloud.
• Analyze, design, develop, implement, and support Okta integrations for various business functions.
• Configure Okta to provide enterprise Single Sign-On services and enable Multi-Factor Authentication (MFA) platform features for internal and external applications.
• Identify required attributes, customizing login pages and implement security policies.
• Follow SDLC (Agile), change management and document the procedures on OKTA solutions to meet compliance requirements.
• Assist application teams through the SDLC process (including requirements gathering, configuration, testing to integrate applications with Okta).
• Contribute to support repeatable processes for Access Management using Okta.
• Understanding of cloud computing architecture, technical design and implementations, including Infrastructure as a Service (IaaS), Platform as a Service (PaaS) and Software as a Service (SaaS) delivery models.
• Experience in various authentication standards such as Security Assertion Markup Language (SAML), OAuth and OpenID Connect.
• Experience with various LDAP products including AD.
• Managing cloud identity profiles.
• Mentoring and training others in the use and functionality of the Okta SaaS products including MFA and ensuring analysis, design, implementation, and support artifacts meet or exceed established Service Level objectives
• Anticipate, identify, track and resolve technical issues

Required Experience and Skills

• Bachelor’s degree in Business Administration, Computer Science, Engineering, MBA or related field preferred
• 5 + years in experience in Okta Identity Access Management
• Experience in developing and supporting and administering Okta IAM
• Experience in working with large IT teams to execute and lead successful project implementations
• Ability to effectively prioritize and execute tasks in a fast paced, high velocity, environment; ability to stay focused on responsibilities, meet deadlines and manage competing priorities under pressure.
• Ability to drive effective meetings : workshops, design, and problem-solving sessions. Ability to present ideas in business friendly and user-friendly language;

demonstrated aptitude for working with, supporting and communicating with

Apply Now

Apply Now

Job Title : Data Warehouse Analyst

Location : Ocoee, FL (Hybrid)

Job Type : Contract

Salary Range : 100-125k

Referral Fee :

Employment Eligibility : Gravity cannot transfer nor sponsor a work visa for this position. Applicants must be eligible to work in the U.S. for any employer directly

Position Overview

Our client is seeking a skilled Data Warehouse Analyst to work within the Business Intelligence Systems Management group.

The Data Analyst performs queries, analyses, and evaluation of data in a data warehouse environment. This analyst also uses data mining and data analysis tools to isolate and extract data based on specific parameters and monitors toll transaction data flow to identify any inconsistencies.

The Data Analyst performs regular monitoring and trend analysis of system performance and Key Performance Indicators (KPIs).

This team member recommends changes to systems or operations where needed. Reviews and validates data in the data warehouse for accuracy.

The Data Analyst also maintains knowledge of software tools, languages, scripts, and shells that effectively support the data warehouse environment in different operating system environments

Duties and Responsibilities

• Performs queries, analyses, and evaluation of data in a data warehouse environment
• Uses data mining and data analysis tools to isolate and extract data based on specific parameters and monitors toll transaction data flow to identify any inconsistencies
• Performs regular monitoring and trend analysis of system performance and Key Performance Indicators (KPIs)
• Recommends changes to systems or operations where needed. Reviews and validates data in the data warehouse for accuracy
• Maintains knowledge of software tools, languages, scripts, and shells that effectively support the data warehouse environment in different operating system environments
• Provides data extraction, analysis, development, and support in multiplatform environments
• Works on multiple projects as a team member and may lead projects of moderate complexity

Required Experience and Skills

• 5+ years of experience as Data Analyst.
• 3+ years SQL experience.
• 3+ years Excel experience including functions and formulas.
• Excellent analytical, problem-solving, and decision-making skill.
• Willingness to learn new tools and skills and cross train.
• Strong technical writing (reports and SOPs) experience, for all levels of the organization utilizing MSOffice, Visio, Share Point or similar applications.
• Strong oral communication skills.
• Ability to work on multiple projects across the organization collaboratively and proactively.

Desired Experience and Skills

• Experience with Power BI, Tableau, or similar BI tools.
• Experience with Python.
• Experience with MS SQL Server, Linux Unix background and PowerShell scripting.
• Experience Windows server 2008 and above.
• Experience of software and hardware testing.
• Tolling experience
• B.S. degree in Business, Information Technology, or another subject such as Accounting, Finance, Computer Science, Statistics or Engineering.
• Relevant work experience related to information and communication technologies, toll operations, and / or intelligent transportation systems (ITS), including toll collection systems, toll infrastructure, electronic payment, call centers, or traffic management.
• Knowledge of supporting and maintaining production systems.

Apply Now

Apply Now

Job Title : Data Scientist

Location : Hybrid Lincolnshire, IL

Our client is seeking a Data Scientist to support our pricing and inventory activities in retail business. In this role, you will use data science, statistics, economics, mathematics or similar training and experience to develop models (machine learning and other), perform analysis, and create analytic measures.

You will be part of the pricing team focused on implementing new pricing, policies, and processes.

Responsibilities :

• Work with the pricing and inventory team improved business outcomes in conjunction with the pricing and inventory teams.
• Using Python, SQL, R, and analytical tools to organize and analyze data.
• Identifying data sources and cleaning data for analytics work.
• Exploring new datasets for actionable insights and joining multiple datasets for deeper analysis.

Must Have Qualifications :

• 3 or more years of relevant experience in a commercial environment.
• Machine learning, feature selection and engineering, rule-based modeling, and linear optimization experience.
• Experience with seasonality measurement and forecasting methods.
• Scoping of data science projects and defining projects and quantitative questions based on business goals.
• Knowledge of data cleaning, data exploration, statistical analysis, and visualizations.
• Python and SQL experience.
• Data Science, Statistics, Economics, Quantitative Marketing or closely related degree at master’s or PhD level.
• Experience with Microsoft Office tools (Word, Excel, PowerPoint, Outlook).
• Ability to work independently to complete assigned tasks.
• Must be diligent, organized, and extremely detail oriented.
• Ability to maintain professional demeanor and strict confidentiality.

Apply Now