Big Data Analyst Resume Samples
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Big Data Analyst Resume Samples
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K Becker
Kristina
Becker
231 Olen Drive
Chicago
IL
+1 (555) 248 5344
231 Olen Drive
Chicago
IL
Phone
p
+1 (555) 248 5344
Experience
Experience
San Francisco, CA
Big Data Analyst
San Francisco, CA
Block-Braun
San Francisco, CA
Big Data Analyst
- Provides recommendations for operational efficiencies and process improvements and assists in policy development to support change initiatives
- Identifies and defines key metrics and performance indicators, creates and maintains dashboards to drive network planning decisions
- Teamwork with architect, management team, test team and other developers
- Assists management in identyifing opportunities to streamline and improve processes
- Research and design metrics to measure search performance, providing insights to guide improvement
- Working closely with the business and technology leaders and managers to understand the organization’s data structures and content
- Drive quality across agile and iterative software development lifecycles within Optum Data Management
New York, NY
Big Data Analyst / Technician
New York, NY
Stokes, Hayes and Koepp
New York, NY
Big Data Analyst / Technician
- Work closely with clients, clinicians, data stewards, and other business and technology leaders to frame problem definition and potential solutions
- Develop solutions for key business initiatives ensuring alignment with future state analytics vision
- Develop solutions to loosely defined business problems by leveraging pattern detection over potentially large datasets
- Designs experiments, test hypotheses, and build models
- Validate findings using an experimental and iterative approach
- Engage constructively with project teams to support project objectives through the application of sound architectural principles
- Communicate and present findings, orally and visually in a way that can be easily understood by their business counterparts
present
Philadelphia, PA
Senior Big Data Analyst
Philadelphia, PA
DuBuque Group
present
Philadelphia, PA
Senior Big Data Analyst
present
- Direct development of risk management predictive / analytical models to help management identify, measure and manage risk
- Work alongside agile development teams to help improve completeness, accuracy and timeliness of datasets
- Work with large data sets from disparate sources to understand linkages and to develop use cases
- Expert with versioning, change management, problem management, and troubleshooting
- Perform exploratory data analysis, generate and test working hypotheses, and uncover interesting trends and relationships
- Work with domain leads and technologists to identify data relevant for analysis
- Serve as a Subject Matter Expert for Big Data analytics, to partner and strategize with OTRC stakeholders in developing analytical routines to achieve their objectives. Clearly articulate and present design solutions, rationale issues and tradeoffs
Education
Education
Bachelor’s Degree in Computer Technology
Bachelor’s Degree in Computer Technology
New York University
Bachelor’s Degree in Computer Technology
Skills
Skills
- Attention to detail and the ability to learn quickly
- Strong technical skills, highly proficient SAS and/or Python/Spark
- Strong analytical skills and ability to problem solve independently by working on complex issues and decisions
- Excellent written and verbal communication skills; mastery in Chinese and proficiency in English
- Able to analyze, model, and interpret large volumes of raw data, draw conclusions and develop actionable recommendations
- Experience providing stable and reliable big data solutions
- Strong analytical skills, ability to digest and interpret complex concepts underpinning Credit Risk modelling and approaches
- Strong interpersonal and communications skills. Proven ability to collaborate with internal and external teams globally including ensuring appropriate communications with management. Excellent written reporting skills
- Knowledge of database types, data warehousing, data manipulation, and experience working with various computer programming languages including SQL, Brio, Hyperion, Interactive Reporting Studio, DB Visualizer
- 1 year of relevant work experience (i.e., data scientist role), including deep expertise and experience with statistical data analysis such as linear models, multivariate analysis, stochastic models, sampling methods, time series forecasting Experience using technology to work efficiently with datasets such as scripting, Python, statistical software packages (R, S-Plus, SAS, WEKA or similar) Experience with data visualization tools like Tableau, TIBCO Spotfire
15 Big Data Analyst resume templates
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1
Big Data Analyst Resume Examples & Samples
- Big data modeling, analytics and algorithm design
- Component design, coding and unit test
- Teamwork with architect, management team, test team and other developers
- Resolve critical technical and non-technical problems to archive the project goal, also improving the development efficiency by adopting new methods
- Work together with worldwide counterparts and collaborate across GPS teams to build mutual trust relationship
- English: Fluent
2
Big Data Analyst Resume Examples & Samples
- Research and design metrics to measure search performance, providing insights to guide improvement
- Mine with big data to understand user behaviors and patterns of the search engine and leverage the insights to improve search ranking algorithms
- Research and develop algorithms to detect SPAM activities and demote sellers with such behaviors
3
Senior Big Data Analyst Resume Examples & Samples
- Direct contributor to predictive / analytical modeling architectures, modeling standards, reporting, and data analysis methodologies
- Create presentations that will clearly state objectives, approaches and benefits of case studies and the ability to articulate results to stakeholders and senior management
- Collaborate with other OTRC stakeholders to integrate data mining results with existing systems and platforms
- Adhere to change control and testing processes for modifications to analytical models
- Minimum: BS/BA degree, preferably in a quantitative field (science/technology/engineering/statistics), or equivalent experience
- Experience of 8+ years working in medium sized project teams and a contributing member in self-directed roles
- Must possess strong knowledge and real life experience in working with Platfora, and Datameer is required
- Strong understanding of predictive / analytical modeling techniques, theories, principles, and practices. Experience in machine learning techniques, statistical modeling, graph modeling and text mining routines is preferred
- Ability to drive new initiatives and proof of concepts with stakeholders, with the ability to assess requirements and establish timelines for each analysis project
- Proven ability to quickly create mock-ups, management reports, strategy slide decks, dashboards or advanced visualizations that tell a coherent story
- Strong risk management background in working with data for financial services companies, is preferred
- Experience working with large amounts of disparate data and working with data models, especially in the Bigdata space
- Must have strong interpersonal skills to interface with all levels of management, as well as good analytical and communication skills
4
Senior Big Data Analyst Resume Examples & Samples
- Lead troubleshooting and analytic efforts into viewing data and its supporting data sets to support business needs
- Work across domain teams to track down anomalies
- Help create metrics and monitoring for use in defining service level agreements focused on accuracy, completeness, and timeliness
- Two years of experience utilizing Big Data Hadoop Ecosystem components
- Two years of experience using tools such as Word, PowerPoint, and Excel
- Three years of experience performing data analysis across multiple data domain
- Expert with versioning, change management, problem management, and troubleshooting
- Fluent in data modeling
- Experience in measuring quality of data
- Comfortable working across teams to solve problems
- Experience performing statistical Analysis
5
Big Data Analyst Resume Examples & Samples
- Higher education degree in science (Computer Science, Mathematics, Econometrics, Machine Learning or Statistics etc.)
- Strong background and experience in machine learning and information retrieval
- Very good knowledge of SQL, 4GL, SAS and data warehouses
- Very good working knowledge of MS Office environment
- Experience in programming or scripting in at least one modern language, including statistical packages (R, Matlab, Gauss, C++, Java, Python etc)
- Deep understanding, analysis and mining of large sets of structured and semi-structured data
- Strength in Machine Learning, Statistical Modeling, Data Mining, Pattern Recognition, Information Retrieval
- Experience in techniques like clustering, regression, classification, graphical models
- Knowledge of distributed computing solutions and ability to leverage them towards gaining faster insights from data
- Analytical, drawing conclusions and results presentation skills
6
Big Data Analyst Resume Examples & Samples
- Develops reports and offers analytical insight for traffic patterns and trends, combines data from multiple network collection sources
- Identifies and defines key metrics and performance indicators, creates and maintains dashboards to drive network planning decisions
- Gathers and processes raw, structured, semi-structured, and unstructured data at scale, including writing scripts, developing programmatic interfaces against web APIs, using & developing network planning tools, etc
- Conducts ad hoc research projects and feasibility tests, forecasting and modeling to gain insight into key issues
- Mines large volumes of data and ensures integrity and accessibility
- Conducts time series forecasting and predictive analytics
- Models and analyzes future demands to help guide long range planning and design of the IP and optical network
- Analyzes Internet customer network usage based on market segmentation, seasonal, weekly and daily usage trends
- Provides and conducts analytic efforts to support business operations, which may include budget modeling, developing analytical tools and numerical modeling of complex operations systems and processes
- Writes reports, creates charts, presentations and timelines in support of department or business operations
- Identifies, researches, and resolves discrepancies in analytical procedure or cross-functional methods
- Interprets operational requirements for inclusion in studies and analyses
- Works with outside expertise engaged to assist or deliver analytic projects
- Uses and may program statistical analysis software
- Supports capability development within the delivery organization, including reviews and gap assessments, and works to source and deliver strategies
- Conducts business impact analyses and validation studies and market research through all stages: concept formulation, definition of metrics, determination of appropriate statistical methodology, research evaluation, and final research report
- Facilitates meetings and presentations to senior leadership
7
Manager, Big Data Analyst for Global Insights Resume Examples & Samples
- Deliver insights from the performance of the LEGO® Life offerings, including reports in Tableau on the performance of apps and the platform
- Translate business questions into requirements for data analytics
- Help build organisational capabilities for big data and advanced analytics
- Travel to both internal projects and external conferences, especially within Europe, for a limited amount of time
- Have 5+ years of experience working with data science, quantitative business analysis and data visualisation preferably from a CPG or FMCG company
- Have experience working with analyses of games, apps or other digital offerings
- Hold a relevant degree in Business Administration, Engineering or similar with a focus on analysis, alternatively you have another background but substantial practical experience
- Are a well-versed communicator, who knows how to translate complex data into brief insights and data visualisations aimed at senior stakeholders
- Can engage with technical as well as non-technical colleagues and collaborate with business owners across departments
- Speak and write English fluently
8
Senior Big Data Analyst Resume Examples & Samples
- Deliver cutting-edge marketing analytics projects optimizing across regions, channels and analytical functions
- Provide data driven decision support to the Hotels.com Leadership Team as well as regional marketing teams
- Become an expert in the marketing funnel, which includes how we price and where/how we promote our products
- Use customer data to analyse the full impact of marketing activities for multiple marketing channels across assigned points of sale, and help internal customers in understanding trade-offs associated with the analytical solutions
- Proactively engage with internal and external stakeholders to assess existing and upcoming business needs and participate in presentations of your analyses to a wider audience
- At this level, you will have full end-to-end responsibility of running projects, from methodology to analysis with the guidance of a senior manager
- Collaborate with other functions, e.g., Finance, Product and other Analytics teams to drive impactful business outcomes
- Share expertise and best practices with analytical functions across business to develop sound strategies to deliver on future projects
- Strong commercial acumen combined with an uncanny ability to extract and analyse data
- Experience in data mining, statistical modelling and business analysis with at least a Bachelors in an analytical discipline (such as Science, Engineering, or Social Science) required. If you have a Masters in the above, it’s a massive plus
- Previous commercial use of a data mining / stat language (R, SAS, Python, SQL) is highly preferred, academic knowledge required
- An insatiable curiosity about the online travel industry and how consumers interact with Search Engines or Meta Travel Search sites
- Previous experience in translating complex data findings into clear insights, with a knack for storytelling is a major plus
- Entrepreneurial and self-driven, and a self-responsibility for the insights that you produce
9
Big Data Analyst / Technician Resume Examples & Samples
- Develop solutions for key business initiatives ensuring alignment with future state analytics vision
- Engage constructively with project teams to support project objectives through the application of sound architectural principles
- Develop and validate that the proposed solution architecture supports the stated & implied business requirements of the project
- Utilize statistical, mathematical, predictive modeling as well as business strategy skills to build the algorithms necessary to ask the right questions and find the right answers
- Designs experiments, test hypotheses, and build models
- Develop solutions to loosely defined business problems by leveraging pattern detection over potentially large datasets
- Propose innovative ways to look at problems by using data mining
- Validate findings using an experimental and iterative approach
- Communicate and present findings, orally and visually in a way that can be easily understood by their business counterparts
- Summarize and present findings; adjust the content and level of detail to appropriate level of the audience
- Use strong business, problem solving skills and programming knowledge to quickly cycle hypotheses through discovery
- Work closely with clients, clinicians, data stewards, and other business and technology leaders to frame problem definition and potential solutions
- 1+ year Hadoop environment development experience
- Experience with predictive analytics or BI reports within a Hadoop ecosystem
- 2+ years of statistical analysis, quantitative analytics, machine learning, and / or forecasting / predicting analytics
- Experience working on Big Data tools (for example: Hadoop, Hive, Spark, Pig, Splunk etc.)
- 2+ more years of experience working with multiple projects through the entire SDLC
10
Big Data Analyst, Senior Resume Examples & Samples
- 8+ years of experience as a big data analyst
- 1+ years of experience in the IC
- Experience with ingesting data into Hadoop, HBase, Accumulo, Solr, Pig, Zookeeper, Storm, or Kafka
- Experience in working with application development tools, standards, and languages, including SQL, XML, XSLT, Java, or Web services
- Experience with core infrastructure technologies, including Linux, Windows, Oracle, MySQL, or PL
- Experience with writing monitoring scripts, queries, and automating system tasks
- 2+ years of experience in the IC
- 1+ years of experience with supporting IC client operations
- Experience with multiple areas of analysis, including ELINT, imagery, network and protocol, big data, or targeting
- Experience with multi-INT analysis
- Experience with identifying, characterizing, and evaluating new targets preferred
- Experience with GEOINT systems, including EO, SAR, and IR system capabilities
- Knowledge of IC Tasking, Collection, Processing, Exploitation, and Dissemination (TCPED)
- BA or BS degree in a Science, Technology, Engineering, or Mathematics discipline
11
Big Data Analyst Resume Examples & Samples
- Troubleshooting and analytic efforts into viewing data and its supporting data sets to support business needs
- Communicate concise findings to Architects, Directors, Executive Directors, and Vice Presidents
- Work alongside agile development teams to help improve completeness, accuracy and timeliness of datasets
- 1-2years of experience utilizing Big Data Hadoop Ecosystem components
- 2+years of experience using tools such as Word, PowerPoint, and Excel
- 2-3years of experience performing data analysis across multiple data domain
- Experience quickly solving analytic problems employing large Hadoop clusters
- Experience performing data analysis on 100 Billion + record sets
- Working knowledge and expertise with Hive, Pig or Map Reduce
- Comfortable working in Hadoop environment (submitting jobs, resolving failures)
- Understanding of Cable Industry, systems, and data sets
12
Big Data Analyst Resume Examples & Samples
- Work with business users across eCommerce to understand data and analysis requirements
- Develop high-quality structured data sets that address business users’ questions
- Develop cogent visualizations and dashboards that facilitate using data in decision making
- Assist business users in performing and understanding analyses
- Collaborate with workflow and automation developers for longitudinal analyses
- Deliver results via dashboards, reports, documentation and presentations
- Participate in data set, dashboard, documentation and workflow maintenance as needed
13
Big Data Analyst Resume Examples & Samples
- Organize, create and analyze large-scale data sets
- Determine the right technology tools to use in order to influence business challenges
- Perform “what if” analyses and question existing assumptions and processes
- Identify competitive advantages
- Communicate your recommendations to both business and IT leaders
- Bachelor's degree in Computer Science or equivalent
- Enjoys data, performing data studies and discovering new data sources (or new uses for existing data sources)
- Inquisitive with the ability to stare at data and spot trends
- Thinks in data models, ELT/ETL and algorithms
- Proficiency in MySQL
- Hands-on experience with Hadoop, Map/Reduce, R or Python is required. Java and Javascript are a big plus
- Deep understanding of time series analysis and regression analysis
- Experience with modeling tools such as Weka and Knime
- Prefers command line to clicking
- Conversant in Linux or OS X
- PaaS and IaaS experience is a plus
- Experience with data visualization and reporting methods and tools
- Familiarity implementing machine learning
- The ideal candidate has a working knowledge of pricing, inventory, electronics or high-tech
- Excellent communication skills and ability to work closely with business leaders to align with strategic goals
14
Big Data Analyst Resume Examples & Samples
- Identify through analysis and datamining opportunities to improve sort algorithm in order to increase traveler conversion
- Define and help organize the upcoming A/B tests to be performed, resulting in constant improvement of our logic
- Specify and help prioritize requirements for coding enhancement of sort algorithm by engineering teams
- Monitor performance of sort system on a daily basis, and quickly identify areas of concern, propose analyses and/or corrective actions
- Passion for number crunching and logical problem solving on intellectual challenges
- Strong business sense and strategy thinking
- Must be comfortable with uncertainty. Flexibility to changing priorities and timelines is key
- Must have proven prior experience with managing complex systems to drive business performance
- Previous experience in Sort order or Revenue Management algorithms would be a definite plus. Knowledge of web industry environment (A/B testing, Conversion funnel, traffic sources…) is preferred but not required
- Master degree and solid background in mathematics, statistics and strategy required
- Must be fluent in English. French a strong plus
15
Big Data Analyst Resume Examples & Samples
- Bachelor’s degree in computer science or related engineering discipline
- 7 to 10 years of IT experience with atleast 3 yrs of data sciences experience
- Solid understanding of foundational statistics concepts and experience with machine learning algorithms to achieve clustering, classification, and recommender systems
- Expertise in Big Data Exploration
- Strong experience in Python or R
- Strong experience with text mining models/methods such as natural language processing, keyword extraction, text clustering, etc
- Experience working with very large datasets and distributed computing platforms such as Hadoop, Hbase, Cassandra, etc
- Fluency with Unix/Linux systems
- Excellent verbal and written communication skills and good at developing relationships across diverse teams
16
Big Data Analyst Resume Examples & Samples
- Coordinate data requirements gathering, analysis, design and quality activities for Big Data Projects
- Learn new technology and tools to enhance Big Data deliverables (Talend, Hadoop / MapR, Sqoop, Hive, Java, Unix-shell scripting)
- Ensure User Stories are defined with appropriate detail prior to sprint execution
- Responsible to confirm user stories are completed correctly by development
- Work as a mentor for junior analysts. Assist with training opportunities to extend the knowledge base for the entire team
- 2 - 4 years of experience in IT Analysis or Development
- 2 - 3 years of experience in Agile, Iterative or other Software Development Life Cycles
- Experience in Big Data Technology (Talend, Hadoop / MapR, Sqoop, Hive, Java, Unix - shell scripting)
- Experience working in an Agile environment or familiarity with Agile methodology
17
Big Data Analyst, Senior Resume Examples & Samples
- 6+ years of experience with working in software development or test, enterprise architecture, Linux, Hadoop, and Accumulo system administration
- 2+ years of experience with data research and data feed management
- 2+ years of experience with one or more of the following: MapReduce, R or R/Shiny, Spark, ELK (Elasticsearch, LogStash, Kibana), Metron, or other open-source analytic capabilities which operate on a Hadoop or Accumulo cluster
- Experience with Linux administration commands and system navigation
- Knowledge of DoD networks and DoD theater network operations (NETOPS) centers
- BA or BS degree in CS, Statistics, Engineering, or MIS
- IAT Level II Certification, including Security+ CE, GSEC, CCNA-Security, or SSCP
- 2-4 years of experience as a DoDIN analyst or other network analyst tasked with monitoring, threat discovery, or forensic response to incidents
- 1-3 years of experience with developing an analytic program and capabilities within the DoD or intelligence agencies
- Experience with assessing network sensor feeds, including data loss prevention (DLP), host intrusion prevention (HIPS), or network intrusion detection (IDS) from any of the major vendors
- Experience with performing operational demonstrations, analyst training, and supporting response and escalation workflows in the analyst community, as needed
- Experience with the setup and maintenance of transport from data source to central analysis cluster, working collaboratively with other teams, including data owners and infrastructure
- Experience with data research, preferably in a production environment using available tools, including Linux, Hadoop, or Accumulo
- Experience with executing or supporting inquiries, access issues, and data interpretations directly on a classified network
- Experience as a document analyst for reports of successful capability usage or backlog features to implement improvements to overall capability
- Experience with engineering or configuring data triggers, models, and risk assessment scores based on threat detection requirements, based on operational experience and analyst feedback
- Ability to define missing tools and capabilities in management of the analytic suite and for data research tasks
- MA or MS degree in CS, Math or Statistics, Engineering, or MIS
- Certification in Hadoop or HDFS implementation and management, Accumulo analysis implementation and data layer security, ELK (Elasticsearch, LogStash, Kibana), or other open source big data analytic capabilities, including Apache Metron
18
Business Intelligence & Big Data Analyst & Developer Resume Examples & Samples
- Work with Network Big Data CoE team members, Network Engineering, Operations as well as other Businesses to understand and analyze business needs and design and develop data solutions by exploring data sources, analytics approaches to be used, e.g. mining, forecasting, visualization, etc. and execute to address the business needs
- Exercise leading edge analytics skills in data visualization, mining, forecasting, etc. to address business needs
- Work in an agile environment and contribute to the improvement of our development processes
- A must have advanced level skills with multiple analytical tools such as SAS, Microstrategy, R, SAP Business Objects, Tableau etc
- 5 to 8 years of great working experience using MicroStrategy suite of products (current version 10.2)
- 5 to 8 years of great working experience administrating MicroStrategy suite of products
- Advanced skills with SQL and database systems such as Oracle, SQL Server, Teradata
- Knowledge of, and preferably experience with, Big Data and/or software development, and/or developing visualization tools
- Ability to work with a team towards common goals
- Self starter who is comfortable working with and presenting to all management levels
19
Big Data Analyst Resume Examples & Samples
- Communicate findings internally and externally, generating reports and dashboards, building narratives that resonate with clients and stakeholders
- Using statistical and machine learning principles to discover hidden patterns, perform predictive analysis and build models that drive insights
- Data querying, transforming, cleansing and linking
- Scale efforts to democratise data internally and externally, be an ambassador for data driven culture
- Become and stay an expert in current and emerging techniques and tools
- Are addicted to numbers and charts and can manipulate them programmatically by leveraging BI tools
- Back all arguments with data and speak database language
- Are a great communicator, able to articulate complex concepts in easy to understand language
- R, Python, Scala and Java are some of the tools in your toolbelt
- A bayesian at heart but can report significance if asked
- Make things work and get things done
- Love to learn new things and can do so quickly
- Like working and being part of interdisciplinary teams
20
Big Data Analyst Resume Examples & Samples
- Metrics generation/presentation using latest reporting tools
- Design/Develop data modules that convert underlying raw data to more readily usable formats for reporting, data mining etc
- Help in enabling real-time analytics using latest big data technologies
- Perform data deep dives to pinpoint problems
- A Bachelor’s degree or equivalent experience
- Four or more years of relevant experience
- Experience with Data Warehousing Technologies
- Skills Needed on reporting front
21
Principal Big Data Analyst Resume Examples & Samples
- Bachelors or Master's degree in a technical or business discipline
- Proven commercial experience as a data analyst, generally a minimum of 8 years related experience in business or IT
- Familiarity with relational database management systems such as Oracle / SQL Server or related RDBMS is required
- Solid experience in data modelling is required
- High proficiency in in writing SQL Scripts is required
- Some exposure to a statistical package or language (SAS, R, etc.) is required
- Candidate must demonstrate a solid understanding of data concepts such as master data management, data governance / profiling / curation / cataloging and data pipeline management
- Candidate must have experience with Big Data concepts, in addition, exposure to technologies such as Hadoop / MapReduce is strongly preferred
22
Big Data Analyst Resume Examples & Samples
- Active TS/SCI with Polygraph is required
- Experience with SQL and NoSQL databases
- Experience with data visualization tools/toolkits (e.g., Pentaho, Tableau, D3, Saiku, ParaView, Protoviz, Maya, 3D Studio, Endeca, Qlikview, etc.)
- Demonstrated experience in user experience methods, innovation, ideation, storytelling, prototyping, design frameworks, concept visualization, problem-framing skills and design principles
- The ability to design data displays to communicate results simply & accurately
- Strong communication skills (both verbal & written)
- Experience with any Amazon Web Services (Amazon Simple DB, Amazon S3, Amazon EC2 and/or Amazon SQS)
- Experience working with web technologies including: HTML, JavaScript Framework, JQuery, Ajax, Cassandra, Datastax, Fireworks, Adobe Creative Suite (Photoshop & Illustrator)
- Experience in developing many different types of visualizations, including visual analytics; real-time visualization for situation awareness; visualizations for interactive data exploration; narrative editorially-guided visualizations; time series analysis methods
- Knowledge or experience with PHP, Java, C++, C#, Ruby on Rails
23
Big Data Analyst Resume Examples & Samples
- Use your interactive frontend dev skills to create compelling data visualizations
- Find creative web driven ways to dig into our vast data infrastructure to raise the level of decision making
- Work with Marketing, Data Science, and Engineering to deliver them a standard methodology and a standard set of templates that are reproducible and customizable for the development of new web products and services for varying markets
- Create reports and dashboards for high level visibility
- Connect your visualizations to a variety of data sources and tools, including Azure cloud DBs, traditional relational databases, the Hadoop ecosystem, various NoSQL solutions, and other Big Data platforms
- You must have a desire to make an impact with your work. Our team is small and nimble with limited hierarchy and lots of ownership
- Play an active role in building out our data analysis and SaaS framework
- Report to the Manager of Data Visualization, Honeywell Software Solutions
- Bachelor’s Degree in Statistics, Engineering, Computer Science, or a related field
- Minimum of 3 years of experience with HTML, CSS & JavaScript
- Minimum of 2 years of experience working with AngularJS or React or other interactive frameworks
- Azure, AWS, Cloudera, Bluemix or other cloud environment working experience
- Hadoop ecosystem (Hive, Pig, etc.)
- Highcharts, Tableau or Alteryx
- AngularJS or React
- Able to communicate with various data clusters
- Quick learner with strong communication skills
- Great at translating business questions into data analysis concepts
24
Big Data Analyst Resume Examples & Samples
- Participate in agile based projects with an objective of ensuring the change meets the team’s goals for quality, reliability, and supportability. Key deliverables include the creation of a steady state support plan, performing test cases, creating appropriate documentation, ensuring proper monitoring, coordinating code promotion and validation, and the facilitation of team cross training sessions
- Build collaborative partnerships with software architects, technical leads and key individuals within other functional organizations
- Efficiently deliver presentations to key customers and senior management
- Flexible, open mind, self-motivated
- Being able to work independently
- Willing to propose ways for improvements
- Attention to detail and the ability to learn quickly
- Excellent written and verbal English
25
Senior Big Data Analyst Resume Examples & Samples
- Design, implement and support various data models and ETLs based on business demands in Hadoop/Spark in order to process terabytes of data
- Implement data processing in a variety of ways; including Hive scripts and Spark Streaming
- Analyze Big Data, applying machine learning algorithms, predictive analytics, statistics, scalable algorithms using Hadoop/Spark
- Performance tuning of our Big Data stack
- Merge Data from different areas of the company in order to build comprehensive statistical/ machine learning models
- 3+ years track record in building and deploying solutions to Big Data problems, building and implementing architecture in Hadoop
- 3+ years of experience in analyzing and working with Big Data using Spark/Python/R
- Hands-on experience with YARN, HDFS, Spark, Kafka, Hive and relevant ETL experience
- Expert level understanding of machine learning algorithms, statistical models, predictive analytics and scalable algorithms is a big plus
- Experience with Java or Scala desired
- Knowledge of visualization tools like Tableau
- A good knowledge of Linux is a big plus
- Experience and interest in Telecom industry is a plus
- Remain up-to-date with state-of-the-art technologies in Big Data Analytics and machine learning
26
HPS Supplies Forecaster / Big Data Analyst Resume Examples & Samples
- Apply statistical techniques to develop models of customer behavior such as response and buying patterns, internal market sizing, share of wallet, opportunities
- Identify/develop metrics/ benchmarks and provide insight behind the information in the performance dashboard
- Champion the utilization of common marketing processes and languages
- Implement marketing processes and tools such as marketing resource management (MRM), customer relationship management (CRM) and customer knowledge management (CKM)
- Work with IT and end users to design, publish and maintain analytical reports to make key customer and marketing information available to sales, marketing and business owners
- Analyze historical financial and operational metrics, such as business seasonality, lead, sales pipeline conversion rates, to drive action planning
- Manage marketing projects to meet timelines and ensure that the project is useful for all stakeholders
- Support and maintain marketing and sales policies with a particular focus on specific product line and/or region in compliance with local regulations
- BA or BS in Marketing or related field; MBA preferred
- 5+ years marketing and/or project management experience
- Experience in MRM or CRM applications; statistics background a plus
- In-depth knowledge of marketing principles, practices, tactics and tools
- Working knowledge of marketing activities and practices and procedures
- Familiarity with and/or experience in business and marketing strategies
- Excellent written/oral communications and analytical skills
- Strong interpersonal and project management skills; ability to manage virtual teams
- Strong negotiating skills
- Ability to interface effectively with multiple levels of management and functional disciplines
- Strong ability to influence/ drive consensus
27
Big Data Analyst Resume Examples & Samples
- At least 18 months to 2 years of experience
- Statistical Analysis
- Predictive Modelling
- Experience of using ML techniques
- Some Experience in Algorithm Development
- Database Experience: development, programming of, querying and statistical analysis
- Understanding of Big Data design and architecture principles
- A/B testing of different hypothesis
- Strong aptitude for learning new technologies
- Good communication, client service, and relationship building skills
- Ability to document, explain, and present complex ideas
- Able to work in time-critical, potentially stressful situations when insights into (new) data sets are required
28
Big Data Analyst Resume Examples & Samples
- Experience with Ab Initio
- Experience with distributed data processing, HPCC, Hadoop, and etc
- Experience in standardized quality and process methodologies (Six Sigma, TQM, CMM, ISO 9000, etc.)
29
Big Data Analyst Resume Examples & Samples
- An active member of an Agile project team; work closely with the entire team to ensure overall project success
- Serve as a liaison between the client and the Agile team
- 5+ years of experience in IT Analysis or Development
- 5+ years of experience in Agile, Iterative or other Software Development Life Cycles
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Big Data Analyst Resume Examples & Samples
- Work as a mentor for junior analysts
- Assist with training opportunities to extend the knowledge base for the entire team
- 3+ years of experience in IT Analysis or Development
- 3+ years of experience in Agile, Iterative or other Software Development Life Cycles
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Big Data Analyst Innovation Resume Examples & Samples
- Lead data acquisition, data mining, and analysis techniques to social media websites( e.g. Twitter, Yelp, Facebook, Flikr) and large data sets
- Creating and managing protocols for the analysis of passively collected information
- Coding and programming social media data and output from other large data sets for scholarly projects related to improving health and healthcare
- Use API’s in order to tap into public data sources (such as Twitter, Yelp, Foursquare, etc)
- Ability to design and evaluate data collection approaches and models as it pertains to various clinical research projects and questions
- Work closely with a team of developers and researchers to conduct scholarly work at the intersection of social media and health
- Data acquisition, data mining, data analysis (programming, coding, analysis)
- Experience with machine learning and API’s
- Demonstrated ability to communicate positively, effectively, and professionally with team members, other health system employees, and patients on an interpersonal level, both verbally and in writing
- Incumbent must be able to work independently, with a minimum of supervision and direction
- It is expected that all employees will promote “customer” satisfaction; i.e., patients, visitors, physicians, co-workers
- Responsive service orientation -- positive, "can do" approach to initiatives, problems, and solutions
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Big Data Analyst Resume Examples & Samples
- Complete the analysis, design and build of data models, propensity models, analytical models and business and personal insights
- Leverage the data platforms efficiently across the technology stack to ensure reuse and minimal duplication. To create golden source repositories that support business units and propositions alike
- Implement solutions to prevent repetition of known issues/ risks and share knowledge of lessons learned. Proactively suggest areas for further analysis
- Generate ideas for improvements to data processes, focusing on their value to business strategy and operations
- A deep expertise in at least one of the following data platforms
- Knowledge of analysis and development of data structures
- Strong reporting and communication skills whilst working on a number of tasks on a variety of different projects at the same time
- Proven ability to build effective internal relationships
- Exposure to agile techniques
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Big Data Analyst Resume Examples & Samples
- Design and Develop real time data ingestion platform using state of the art big data tools
- Design and Develop platforms to process, store, index real time streaming data using big data tools
- Enable key insights of data in real time to underlying downstream systems
- Design and Develop processes to parse unstructured and semi structured data coming from STBs and Mobile Devices
- Design and Develop analytical layer for easier and simplified data access to external teams
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Big Data Analyst Resume Examples & Samples
- Masters/PHD degree in a highly numerate discipline (e.g Maths, Economics, Computer Science…)
- Strong analytical skills, ability to digest and interpret complex concepts underpinning Credit Risk modelling and approaches
- Strong technical skills, highly proficient SAS and/or Python/Spark
- Familiarity with Big Data analytics techniques such as Machine Learning highly appreciated
- Strong data extraction and manipulation skills and clear understanding of data issues to prepare and validate inputs and analyse outputs
- Data driven, results orientated
- Strategic, conceptual analysis capability
- Well-developed personal organisation and commercial acumen, with the ability to deliver accurate results within tight timescales
- A range of inter-personal skills including innovation, determination, and teamwork
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Big Data Analyst Resume Examples & Samples
- Genuine excitement and passion for development and analyzing large, complex data sets and converting them into the information/insights that drive business decisions at all levels of the organization
- Develop and improve existing analytics and reporting around Aimco's captial investment projects
- Providing quality reporting with actionable insight
- Solving complex problems through detailed analytics and reporting
- Utlize technical skills including SQL, VBA, and MS Access to streamline processes and reporting
- Assists management in identyifing opportunities to streamline and improve processes
- Performs frequent reporting and analysis of actual and forecasted results compared to project plan
- Strong understanding of financial processes, systems, and controls and responsibility for documenting the proceses
- Supports the finance team in performing monthly and annual finance processes, including: accounting month-end, monthly forecasting, and annual budgeting
- Ability to thrive in a complex, multi-project enviornment
- Maintain a highly collaborative approach to problem solving
- A collaborative self-starter which thrives in a fast paced enviornment
- Strong data analysis skills, utilizing SQL and MS Access
- Beginniner to intermediate VBA/macro experience
- Knowledge of core financial processes (accounting, budgeting, forecasting)
- Strong financial systems experience (Hyperion, Oracle, SAP)
- Bachelor's Degree in Accounting, FInance, Economics or related
- 2-5 years of experience with leadership ambitions
- Combines detail-oriented focus and a big picture perpsective
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Senior Big Data Analyst Resume Examples & Samples
- Retrieve, prepare, and process a rich variety of data sources including but not limited to connected health data, market data and operational data
- Analyze and model structured & unstructured data and implement algorithms to support analysis using advanced statistical and mathematical methods
- Perform Statistical Natural Language Processing to mine unstructured data, using methods such as document clustering, topic analysis, named entity recognition, document classification, and sentiment analysis
- Utilize a diverse array of technologies and tools such as R, SAS, Python, Spark, Hadoop, and Tableau to deliver business insights
- Communicate results and educate others through insightful visualizations, reports and presentations
- Perform exploratory data analysis, generate and test working hypotheses, and uncover interesting trends and relationships
- Determine operational objectives by studying business functions, gathering information, and evaluating output requirements and formats
- Create and document protocols for quality assurance and reporting through standard operating procedure documents
- Bachelor's degree required, preferably in computer science, software engineering, statistics or related field
- 1-3 years of advanced analytical experience working with large data sets is preferred
- Ability to work well in team-based environment
- Ability to work independently and build strong internal client relationships
- Strong work ethic with attention to detail and a commitment to client service excellence
- Excellent analytical skills, problem solving skills, strong verbal and written communication skills
- Be a self-starter who can prioritize tasks, manage deadlines, navigate and be successful in a fast-paced, dynamic work environment
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Big Data Analyst Resume Examples & Samples
- Master Degree on Data Science and Big Data Analytics program or Computer science Strong quantitative analytical abilities Passionate about the value of bringing technical solutions to bear on complicated business decisions and processes
- Advanced skills with at least one scripting language (Python, R or Scala)
- Expert experience in machine learning, artificial intelligence and/or artificial neural networks Expert knowledge of various mathematical and statistical models to include Discrete Event Simulation, Factor Analysis, Genetic Algorithms, Bayesian, Probability Models, Hidden Markov Models and Sensitivity Analysis
- Proficient in the big data ecosystem with familiarity with Spark, and KAFKA
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Big Data Analyst Resume Examples & Samples
- Bachelor's or Master's degree in Quality Management, Business Management, Engineering, Computer Sciences, or a relative field of study or equivalent experience
- Lean Six Sigma or other Quality certification preferred
- Typically 4-6 years experience
- Using data collection and analysis tools and software packages to gather, integrate and analyze data from multiple sources
- Strong analytical, statistical and problem solving skills
- Understanding of industry quality standards and methodologies
- Using empirical and root- cause analysis, modeling, and testing methodologies to validate compliance with quality standards
- Knowledge of database types, data warehousing, data manipulation, and experience working with various computer programming languages including SQL, Brio, Hyperion, Interactive Reporting Studio, DB Visualizer
- Strong analytical skills and ability to problem solve independently by working on complex issues and decisions
- Able to analyze, model, and interpret large volumes of raw data, draw conclusions and develop actionable recommendations
- Expert working knowledge of MS Office application, Business Intelligence and Social Media Analytics tool
- Strong interpersonal and communications skills. Proven ability to collaborate with internal and external teams globally including ensuring appropriate communications with management. Excellent written reporting skills
- Excellent written and verbal communication skills; mastery in Chinese and proficiency in English
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Big Data Analyst / Developer Resume Examples & Samples
- Delivering solutions within a DevOps environment with a relentless focus on automation of testing and deployment via Git, TeamCity, Nolio and similar tools
- Background in computer science or engineering including a university degree
- 7+ years of experience in investment banking software development
- 7+ years of experience and proficient at using Unix systems
- 3+ years of experience in Java/Scala development
- 2+ years of experience developing, installing and configuring Cloudera/Hadoop based Big Data solutions
- 2+ years of experience in NoSQL (HBase) and RDBMS databases
- Proficient experience building embedded DSLs in Scala
