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0-5 years of experience
Develops and deploys customer targeting models for product campaigns using the IBM SPSS data modeling software. Provides return on investment analyses on campaign efforts and presents results to the Product and Advertising teams. Supports ad-hoc reporting as needed and administers the integration of marketing communication materials with internal electronic systems.
- Generated $4M in wealth management sales with the implementation of a new targeting model.
- Identified $13M cross-sell opportunity that led to the investigation and implementation of a credit card redesign effort.
- Leveraged advanced MS Excel skills to provide analytics on routine product campaigns and their return on investment; performed quarterly reporting of the customer website using Google Analytics.
0-5 years of experience
- Relationship manager for LiveRamp - measuring performances of online marketing campaigns; optimized data flow from Dish to LiveRamp to Adobe Audience Manager, by ensuring data consumption standards are consistent across the board, and expectations are aligned
- Led project to streamline campaign fulfillment process using Workfront and successfully implemented across a Marketing department of 100+ individuals; saving numerous man hours, and increasing efficiency by 120%
- Audited past acquisition and up-sell campaigns, saving the organization $200,000 (~10%) per campaign in 2015; ensuring optimized customer targeting
- Improved household address matching leading to savings worth $170,000
- Identified new markets for internet services using FCC data, and competitive analysis; increasing target market by 20%
- Analyzed a consumer panel of 15,000 subscribers, defined by A/B testing, and identified KPIs for customer acquisition, retention and loyalty
- Generated reports to present findings to C-level execs, using Microsoft Excel, and Tableau; highlighting behavioral patterns and quality of acquired customers during a Price Lock campaign
0-5 years of experience
- Managed Grassroots marketing team such as scheduling, communication, and assigned activities as required.
- Used Excel to create and gather reports with heavy data to present to higher management (Pivot tables, V-lookups, create reports using Access, and formulas to manipulate data).
- Generated daily, weekly, and monthly reports using Excel and Powerpoint to send out to the internal teams, which highlight sales, profit, monthly targets, and related data.
- Reconciled data between reports and various Verizon internal data sources. Ensured accuracy of reporting and research; analyzed and resolved discrepancies.
- Utilized internal client reporting structures such as AMDB, BDMS and any other additional databases identified as necessary.
- Facilitated program reporting, database manager and internal communications as directed through higher management.
0-5 years of experience
- Carried out in-depth research to develop market entry strategies for a new business line, increased market penetration in 32 states
- Utilized data analysis and visualization tools (incl. tableau) to deliver actionable insights for business development, created customizable programs for 5 major clients to increase retention
- Worked closely with IT, Sales and Marketing teams to automate and optimize key workflows to identify costs, results, and opportunities; streamlined business resources by standardizing business processes and improving internal system integration
- Evaluated marketing metrics by studying prospect behavior and sales trend, more than doubled program participation in 6 months
0-5 years of experience
- Built regression models between revenues and features influencing the sales. Figured out the relation between selected influential factors and the views of posts on data from social media. Raised suggestions for increasing traffic and transactions.
- Using R, applied Web Scrapping to access destinations data in packages from the [company name]. Analyzed and summarized sales information for all destinations and applied on the email preference system.
- Researched in different Multi-Channel Attribute Models using R. Compared the results with those in Google Analytics. Finally picked Markov Model for reference of more efficient advertising.
0-5 years of experience
- Used text mining of 2000 Amazon reviews to uncover customer attitudes and sentiments on oral care products and gave insight as to what contributes to their overall rating and purchasing intentions
- Applied data mining techniques to compare and highlight top customer opinions of a product as a means to provide feedback to enhance future products
- Tracked search engine traffic, bounce rate, conversion rate, inbound links and other marketing metric to monitor websites and analyze a huge amount of data at both the aggregate and individual page level through Advanced Google Analytics
- Used predictive analytics and regression modeling to examine and determine patterns in data that company can use to predict and understand customer behavior, such as shopping habits and purchasing trends
- Corporate with TURN (DSP/DMP) to ingest and unify disparate marketing data to drive audience acquisition, engagement, and conversion across that complex buying journey for expanding programmatic media buying
0-5 years of experience
- Lead a team of 6 duke students and execute an online search ad campaign for an NGO with a $250 budget.
- Monitor the SEO performance daily. Guide campaign decisions based on data, A/B testing, growth goal, and client interview.
- Analyze data, identify key issues, and allocate the budget to optimize the campaign. Surpass KPI goal by achieving 49,000+ impressions, 690+ clicks, 1.42% CTR) in 3 weeks.
0-5 years of experience
- Ensured that Google AdWords and Hubspot Ads campaigns are optimized to bring highly targeted traffic to FastVisa’s website with ensuring a very strong ROI
- Performed Google Analytics analysis and reporting based on customer usage data
- Created, analyzed, and optimized Google AdWords and Hubspot campaigns for across varying target segments
- Worked with large data sets in Excel and uploading data/content for ads using the AdWords Editor tool
- Used Python, R, Excel Pivots or other data science tools to monitor and analyze the customer usage results
- Conducted AB testing across ads and landing pages
- Assisted in the execution and evaluation of optimization activities, including but not limited to: keyword development expansion, ad creation, lead generation and landing page optimization
- Published comprehensive monthly and weekly reports based on customer usage data
- Created PPC Strategy and SEO strategy for FastVisa website
0-5 years of experience
- Assisting Sales and Revenue Managers in sales planning, sales discount validation, data reconciliation.
- Tracking daily productivity to provide clear, compelling metrics reporting on a regular basis.
- Generating business intelligence reports using pivot tables and pivot charts from cleaned data.
- Using SQL for organizing and abstracting data from MS access data bases and created reports.
- Finding new insights with available data and presenting the analysis for the process improvements.
0-5 years of experience
- Lead on marketing data reports for the Final Distribution Retail team inside [company name]
- Manages the Digital Customer Experience online and works with End-to-End Web interface for more than 10,000+ products within the Final Distribution Retail team
- Constantly working to revamp and recreate web content and constantly working to recreate the way product information is displayed
- Ensuring and leading the Commercial Reference Creation & Master Data consolidation for more than 10,000+ products
- Managing the Product data in Schneider systems (OPS, Etim, pictures)
- Working to deploy and animate the required tools/platforms to process data and support Business requirements for Current & Future Offer marketing.
- Lead O
- Process owner of the commercial reference creation
- Supports the coordination for the data transfer
- Masters data flows & associated Information Systems
- Ensures the completeness and quality of the marketing data (OPS, Etim, pictures )
0-5 years of experience
- Identifies, gathers data, and interprets trends and patterns in targeted data sets and prepares reports for business development
- Gathers data on competitors in specific areas, and analyses trends and methods of marketing and distributions
- Research market conditions in specific areas, and analyzes client preferences to determine potential sales of a product or service
- Tracks and analyzes marketing and sales trends, forecasts and prepares reports to measure the effectiveness of programs
- Identifies leads for individual plan sponsor sales initiatives
- Identifies conferences, speaking opportunities, associations, and referral sources for engagement
0-5 years of experience
- Oversee data processing for company marketing campaigns using SAS & SQL programming, processing files as large as 27 million records to create data files of potential customers to our strategy and campaign management teams
- Responsible for targeted marketing of 3 million existing HomeServe customers and for millions more customers of 13 public utility companies across the United States including AQUA, SoCal Gas, California Water
- Built a predictive data model for targeting marketing of Water Service Line products to AARP customers- this model outperformed a model built by Influent50, a marketing agency specializing in marketing toward the 50+ demographic. This model was implemented in December 2015 and this marketing campaign has seen over 115,000 new AARP customers to date
- Built a predictive data model for American Electric Power (AEP) for targeted marketing of Exterior Electrical Line coverage using third-party data purchased from Experian- this model outperformed a model built by IBM which used AEP provided first-party data
- Perform analysis on over 40 million US households to determine ways to maximize marketing effectiveness. This includes analysis on age, income, home information (including home value, year built, length of residence, mortgage information), neighborhood demographics, occupation and several hundred more variables that have contributed to reports, marketing strategy and data modeling
- Created a standardized process for handling data processing of customer cross sells. This involves standardizing our entire customer database using specialized cleaning software, and appending information from several company databases, eliminating multiple data processing steps
- Working on creating an automated process for pulling samples of customers for customer engagement survey company Rant & Rave- this process includes creation of a centralized claims, complaints, and engineers database that can work in conjunction with existing customer database
- Weekly reporting of ongoing marketing campaigns which provide analysis of product testing, creative testing, demographic breakdowns, market segmentation tracking
0-5 years of experience
- Analyzing data and create reports, dashboards and visualizations using a wide variety of tools
- Tracking behavioral and demographic trends across customer segments and manage analytic delivery tools (e.g. dashboards)
- Analyzing and aggregating effectiveness of customer acquisition from a variety of sources and tying marketing channel attribution to post-conversion lifetime value
- Producing regularly scheduled reports around campaign performance and marketing analysis
- Exporting, organizing, and aggregating data for market intelligence
- Building dashboards around early member behavior, outlining key KPIs around, usage, churn, engagement, behavior and content consumption
- Assisting in building out marketing channel effectiveness reports to look at brand awareness, brand engagement, and conversion.
- Ensuring data integrity across all marketing channel acquisition sources
0-5 years of experience
- Data Analytics using WebTrends
- Write and submit business cases to enhance products
- Monthly reporting for Shipping and Billing
- Perform reporting using Access, SQL Server, and Microsoft Visual Studio.
- Work with SQL databases and stored procedures using SQL Server 2008, 2012.
- Import, export and manipulate large data sets in multi-million-row databases from SQL server.
- Create reports continuously modifying and analyzing after the product has gone to market.
- Query Data Warehouse, Information Library and CT Logs for purposes of reporting.
- Ad hoc data requests
0-5 years of experience
- Update and maintain account hierarchies in Salesforce
- Create, update, and maintain reports and dashboards in Salesforce
- Generate call and chase lists using proprietary and secondary data
- Provide feedback on call campaigns
- Edit, merge, and delete accounts in Salesforce
- Create rules and processes for determining account ownership
- Track progression of marketing leads through the sales funnel
- Generate reports to determine success of various marketing sources and campaigns
Data Analyst Duties and Responsibilities
Data analysts take on a range of duties depending on the organization they work for. Based on job listings we analyzed, a data analyst's duties typically involve:
Interpreting Data Using statistical techniques, data analysts analyze results from data, using this information to create ongoing reports.
Implementing Databases Data analysts develop and implement databases, as well as data analytics and strategies to optimize the efficiency and quality of data processes within the organization.
Gathering Information from Other Sources A key part of this job is to acquire data from primary and secondary sources, to use to maintain data systems.
Identifying Trends Data analysts look at the data they've collected to find patterns or trends in complex data sets. This also helps in cleaning data by reviewing computer reports and performance indicators to correct any coding problems.
Finding Ways to Improve Processes Data analysts work with management to establish the company's business goals and information needs so that these can be prioritized. They also define new processes and ways to improve on how information is gathered and used.
Data Analyst Skills and Qualifications
Data analysts should have strong numerical abilities, be critical thinkers, and be able to communicate complex information in an easy-to-follow way that people with no data knowledge can comprehend. Typically, employers require a bachelor's degree in mathematics, computer science, or a similar field, as well as the following abilities:- Analytical skills - data analysts interpret and analyze data to draw conclusions and identify patterns
- Computer knowledge - this position uses statistical and analytical software
- Communication skills - data analysts often have to present their findings or translate the information into an easy-to-understand document, so the ability to communicate complex data, and to write and speak clearly, are important
- Math skills - data analysts need to have strong numeracy skills to estimate and interpret numerical data
- Attention to detail - it's vital that data analysts be precise in their work, able to spot errors, and vigilant to ensure that any problems are corrected for accurate results
Data Analyst Education and Training
The minimum requirement to become a data analyst is a bachelor's degree in mathematics, statistics, computer science, or a similar subject. For upper-level positions, a master's degree in these areas is beneficial. Data analysts have to have experience in analysis and math, and depending on the area of specialization, certification can also be required.
Data Analyst Salary and Outlook
The median annual salary for data analysts is $58,000, according to PayScale. Data analysts in the 10th percentile earn around $41,000 annually, while the highest paid earn close to $82,000 a year. Some companies offer packages that can reach up to $9,000 from bonus structures based on individual or group performances, and the same in profit sharing opportunities. Seventy-five percent of employers offer dental plans and 85 percent offer medical insurance as part of their benefits package.
Helpful Resources
We've collected some of the best resources to help you learn how to develop a career as a data analyst:
Data Scientist and Analysts - This LinkedIn group has over 4,300 members, all related to the data science and analysis industry. For those new to this sector, networking with like-minded people and finding a new source of knowledge is useful for developing a better understanding of tips and techniques that can be used day to day.
Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking - A great guide for learning the fundamental principles of data science and analysis, this book walks readers through the ‘data analytical thinking' needed for providing business value to data. It covers the main data-mining techniques needed for this position, as well as how to treat data as a business asset, approaching business problems analytically, and understanding how data science fits into businesses.
Practical and Efficient SAS Programming: The Insider's Guide - SAS is a flexible program, but it can look complex to those unfamiliar with it. This book provides general SAS programming tips and tools that can be utilized in the workplace. Including self-contained sections that describe each technique with numerous examples, it's easy to follow and ideal for SAS programming novices.
Analytics Vidhya - This blog, run by Kunal Jain, focuses on building a community that revolves around the topic of analytics study. From knowledge sharing and tips to networking with others in the industry, it's a useful blog to help develop knowledge.
