OneIT - Analyst, Advanced Analytics - WSP USA
Buffalo, NY
About the Job
This Opportunity
WSP has an opportunity for an Analyst, Advanced Analytics to join our OneIT Business Intelligence & Data team, based out of our Buffalo, NY office .
We are looking for a professional specializing in advanced analytics. This role involves harnessing data-driven insights to enhance decision-making processes within an organization on precise use case. Leveraging advanced analytics techniques, such as predictive modeling and statistical analysis, we identify patterns, trends, and correlations within large datasets.
Through the integration of BI, advanced analytics, ML, and AI, this professional will play a crucial role in transforming raw data into valuable, actionable intelligence, enabling the organization to stay competitive and agile in a rapidly evolving business landscape while providing expertise and training to our international team. Provides support for collecting, interpreting, publishing, and warehousing of data for project numbers, market research, logistics, aggregation, and extracting meaning. Tasks may include basic assistance with research and providing information and analysis. Generates accurate and concise reports and documentation regarding assigned project specifications. Ensures that responsibilities are delivered and adhered to with a level of quality that meets or exceeds acceptable industry standards for design, safety, and functionality.
Your Impact
+ Staying up to date with industry trends and developments to identify opportunities for improvements.
+ Collaborating with cross-functional teams to identify and prioritize business needs and tackle precise use case.
+ Develop best practices for engineers to leverage future advanced technologies at WSP globally.
+ Acquire data from primary or secondary data sources and undertake pre-processing of structured and unstructured data so it’s easy to process by data engineers / improve prompt engineering.
+ Work with identified external suppliers and/or universities on some use case to promote new innovations and research and development.
+ Providing data-driven insights and recommendations to stakeholders, including senior executive leadership.
+ With minimal supervision, assist with sourcing, collecting, compiling, and analyzing structured and unstructured data from, spreadsheets, financial reports, computer-generated reports, and other matrices and disparate sources.
+ Perform basic professional data scientist work with identifying the data-analytics problems that offer the greatest opportunities to the task or project.
+ Assist with the development of technologies, modeling techniques, load/pricing calculations, new experimental frameworks, and analytical strategies to devise and apply models and algorithms to mine stores of big data, identify patterns and trends, and discover future-ready solutions and opportunities.
+ Work with cross-functional teams in executing project work for internal and external clients, assisting technical staff and project managers with risk identification and assessment, offering input, analysis, and actionable results.
+ Collect and review data throughout all stages of acquisition and processing, including such areas as data sourcing/collection, ground truth generation, normalization, transformation, cleaning, validating, and cross-lingual alignment/mapping, etc.
+ Assist with preparing data, visualizations, and reports summarizing research and specifications with findings and conclusions; generating complete, accurate, and concise documentation using tables, charts, calculations, and illustrations.
+ Assist with the design, development, evaluation, and release of highly innovative models that elevate the customer experience and track impact over time.
+ Triage client requests to ensure project success to include completion in time and for the results to be useful.
+ Use tools such as Tableau, Looker, and Google Data Studio to aggregate data from the ERP and other software to build and develop dashboards for both client-facing and internal purposes across the company that feature relevant KPIs and metrics.
+ Assist with professional deliverables on projects and business development proposals.
+ Complete training on assigned tasks.
+ Exercise responsible and ethical decision-making regarding company funds, resources and conduct, and adhere to WSP’s Code of Conduct and related policies and procedures.
+ Perform additional responsibilities as required by business needs.
Who You Are
Required Qualifications
+ Bachelor’s Degree in Math, Data Analysis, Accounting, Finance, Engineering or related field. Or equivalent years of relevant experience.
+ 1 to 3 years of experience within data science/analysis/business intelligence, or other relevant experience.
+ Proven work experience with advanced analytics tools.
+ Functional-Technical expertise regarding data models, database design development, data mining, data cleansing & data visualization an asset.
+ Strong knowledge of and experience with reporting (exceptionally good with Power BI, M-Query & DAX).
+ Advanced knowledge of Python.
+ Knowledge of statistics and experience using statistical packages for analyzing datasets (SPSS, SAS etc.).
+ Familiarity with business intelligence tools (e.g. Tableau), and big data technologies (e.g. Hadoop, Spark).
+ Familiarity with computer programing databases, coding and testing (e.g. SQL).
+ Familiarity with data management practices, performing exploratory data analysis, and employing research techniques.
+ Analytical mindset with an ability to exercise sound judgement in evaluating situations, applying logic, and making decisions.
+ Competent interpersonal and communication skills when interacting with others, and effectively articulating complex data in a simple, actionable manner.
+ Competent self-leadership with attention to detail, accuracy, multi-tasking, and prioritization of responsibilities in a dynamic work environment.
+ Ability to work independently with minimal supervision, as well as part of a team to meet business objectives.
+ High level of mathematical acumen.
+ Familiarity with statistics and predictive models.
+ Proficient with Microsoft Excel.
+ Proven track record of upholding workplace safety and ability to abide by WSP’s health, safety and drug/alcohol and harassment policies.
+ Ability to work schedules conducive to project-specific requirements that may extend beyond the typical workweek.
+ Occasional travel may be required depending on project-specific requirements.
WSP Benefits
WSP provides a comprehensive suite of benefits focused on a providing health and financial stability throughout the employee’s career. These benefits include coverage related to medical, dental, vision, disability, and life; retirement savings; paid sick leave; paid vacation (or other personal time); paid parental leave; and paid time off for purposes of bereavement, voting, and/or attendance at naturalization proceedings.
Compensation
Expected Salary (all locations): $68,800 - $94,600
WSP USA is providing the compensation range that the company in good faith believes it might pay and offer for this position, based on the successful applicant’s education, experience, knowledge, skills, abilities in addition to internal equity and specific geographic location. WSP USA reserves the right to ultimately pay more or less than the posted range and offer additional benefits and other compensation, depending on circumstances not related to an applicant’s sex or other status protected by local, state, and/or federal law.
WSP has an opportunity for an Analyst, Advanced Analytics to join our OneIT Business Intelligence & Data team, based out of our Buffalo, NY office .
We are looking for a professional specializing in advanced analytics. This role involves harnessing data-driven insights to enhance decision-making processes within an organization on precise use case. Leveraging advanced analytics techniques, such as predictive modeling and statistical analysis, we identify patterns, trends, and correlations within large datasets.
Through the integration of BI, advanced analytics, ML, and AI, this professional will play a crucial role in transforming raw data into valuable, actionable intelligence, enabling the organization to stay competitive and agile in a rapidly evolving business landscape while providing expertise and training to our international team. Provides support for collecting, interpreting, publishing, and warehousing of data for project numbers, market research, logistics, aggregation, and extracting meaning. Tasks may include basic assistance with research and providing information and analysis. Generates accurate and concise reports and documentation regarding assigned project specifications. Ensures that responsibilities are delivered and adhered to with a level of quality that meets or exceeds acceptable industry standards for design, safety, and functionality.
Your Impact
+ Staying up to date with industry trends and developments to identify opportunities for improvements.
+ Collaborating with cross-functional teams to identify and prioritize business needs and tackle precise use case.
+ Develop best practices for engineers to leverage future advanced technologies at WSP globally.
+ Acquire data from primary or secondary data sources and undertake pre-processing of structured and unstructured data so it’s easy to process by data engineers / improve prompt engineering.
+ Work with identified external suppliers and/or universities on some use case to promote new innovations and research and development.
+ Providing data-driven insights and recommendations to stakeholders, including senior executive leadership.
+ With minimal supervision, assist with sourcing, collecting, compiling, and analyzing structured and unstructured data from, spreadsheets, financial reports, computer-generated reports, and other matrices and disparate sources.
+ Perform basic professional data scientist work with identifying the data-analytics problems that offer the greatest opportunities to the task or project.
+ Assist with the development of technologies, modeling techniques, load/pricing calculations, new experimental frameworks, and analytical strategies to devise and apply models and algorithms to mine stores of big data, identify patterns and trends, and discover future-ready solutions and opportunities.
+ Work with cross-functional teams in executing project work for internal and external clients, assisting technical staff and project managers with risk identification and assessment, offering input, analysis, and actionable results.
+ Collect and review data throughout all stages of acquisition and processing, including such areas as data sourcing/collection, ground truth generation, normalization, transformation, cleaning, validating, and cross-lingual alignment/mapping, etc.
+ Assist with preparing data, visualizations, and reports summarizing research and specifications with findings and conclusions; generating complete, accurate, and concise documentation using tables, charts, calculations, and illustrations.
+ Assist with the design, development, evaluation, and release of highly innovative models that elevate the customer experience and track impact over time.
+ Triage client requests to ensure project success to include completion in time and for the results to be useful.
+ Use tools such as Tableau, Looker, and Google Data Studio to aggregate data from the ERP and other software to build and develop dashboards for both client-facing and internal purposes across the company that feature relevant KPIs and metrics.
+ Assist with professional deliverables on projects and business development proposals.
+ Complete training on assigned tasks.
+ Exercise responsible and ethical decision-making regarding company funds, resources and conduct, and adhere to WSP’s Code of Conduct and related policies and procedures.
+ Perform additional responsibilities as required by business needs.
Who You Are
Required Qualifications
+ Bachelor’s Degree in Math, Data Analysis, Accounting, Finance, Engineering or related field. Or equivalent years of relevant experience.
+ 1 to 3 years of experience within data science/analysis/business intelligence, or other relevant experience.
+ Proven work experience with advanced analytics tools.
+ Functional-Technical expertise regarding data models, database design development, data mining, data cleansing & data visualization an asset.
+ Strong knowledge of and experience with reporting (exceptionally good with Power BI, M-Query & DAX).
+ Advanced knowledge of Python.
+ Knowledge of statistics and experience using statistical packages for analyzing datasets (SPSS, SAS etc.).
+ Familiarity with business intelligence tools (e.g. Tableau), and big data technologies (e.g. Hadoop, Spark).
+ Familiarity with computer programing databases, coding and testing (e.g. SQL).
+ Familiarity with data management practices, performing exploratory data analysis, and employing research techniques.
+ Analytical mindset with an ability to exercise sound judgement in evaluating situations, applying logic, and making decisions.
+ Competent interpersonal and communication skills when interacting with others, and effectively articulating complex data in a simple, actionable manner.
+ Competent self-leadership with attention to detail, accuracy, multi-tasking, and prioritization of responsibilities in a dynamic work environment.
+ Ability to work independently with minimal supervision, as well as part of a team to meet business objectives.
+ High level of mathematical acumen.
+ Familiarity with statistics and predictive models.
+ Proficient with Microsoft Excel.
+ Proven track record of upholding workplace safety and ability to abide by WSP’s health, safety and drug/alcohol and harassment policies.
+ Ability to work schedules conducive to project-specific requirements that may extend beyond the typical workweek.
+ Occasional travel may be required depending on project-specific requirements.
WSP Benefits
WSP provides a comprehensive suite of benefits focused on a providing health and financial stability throughout the employee’s career. These benefits include coverage related to medical, dental, vision, disability, and life; retirement savings; paid sick leave; paid vacation (or other personal time); paid parental leave; and paid time off for purposes of bereavement, voting, and/or attendance at naturalization proceedings.
Compensation
Expected Salary (all locations): $68,800 - $94,600
WSP USA is providing the compensation range that the company in good faith believes it might pay and offer for this position, based on the successful applicant’s education, experience, knowledge, skills, abilities in addition to internal equity and specific geographic location. WSP USA reserves the right to ultimately pay more or less than the posted range and offer additional benefits and other compensation, depending on circumstances not related to an applicant’s sex or other status protected by local, state, and/or federal law.
Source : WSP USA